{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:07:56Z","timestamp":1781622476608,"version":"3.54.5"},"reference-count":332,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3579204","type":"journal-article","created":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T17:43:34Z","timestamp":1749750214000},"page":"106246-106286","source":"Crossref","is-referenced-by-count":14,"title":["A Systematic Review on Smart and Predictive Maintenance in Tool Condition Monitoring"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2235-1536","authenticated-orcid":false,"given":"Dhanalekshmi Prasad","family":"Yedurkar","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Institut f&#x00FC;r Materials Resource Management, Universit&#x00E4;t Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7670-2429","authenticated-orcid":false,"given":"Thomas","family":"Schlech","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Institut f&#x00FC;r Materials Resource Management, Universit&#x00E4;t Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6477-0691","authenticated-orcid":false,"given":"Markus G. R.","family":"Sause","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Institut f&#x00FC;r Materials Resource Management, Universit&#x00E4;t Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENG.2017.05.015"},{"key":"ref2","article-title":"Whitepaper on smart manufacturing","author":"Johnsson","year":"2021"},{"key":"ref3","volume-title":"How Manufacturers Achieve Top Quartile Performance","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3130157"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1115\/1.4050775"},{"key":"ref6","volume-title":"Optimizing Maintenance Tasks With Predictive Maintenance in Smart Factories","year":"2025"},{"key":"ref7","volume-title":"Ai-based Data Evaluation for Condition Monitoring and Predictive Maintenance","year":"2025"},{"key":"ref8","volume-title":"Condition Monitoring","year":"2025"},{"key":"ref9","volume-title":"Industrial Analytics: Turning Data Into Added Value","year":"2025"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-450-0_1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2004.08.016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3060395"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2016.04.007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1784\/cm2023.3e1"},{"key":"ref15","first-page":"1","article-title":"From monitoring data to remaining useful life: An evolving approach including uncertainty","volume-title":"Proc. 34th Eur. Saf. Rel. Data Assoc., ESReDA Seminar 2nd Joint ESReDA\/ESRA Seminar Supporting Technol. Adv. Maintenance Informaiton Management.","author":"El Koujok"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.11.010"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.07.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3101284"},{"key":"ref19","volume-title":"Maintaining Virtual System Uptime in Today\u2019s Transforming It Infrastructure","author":"Rapoza","year":"2016"},{"key":"ref20","volume-title":"After the Fall: Cost, Causes and Consequences of Unplanned Downtime, Ge+ Servicemax","author":"Gallichan","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.19026\/ajfst.7.502"},{"key":"ref22","volume-title":"Method of preparing lead and alkaline earth titanates and niobates and coating method using the same to form a capacitor","author":"Pechini","year":"1967"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app8060916"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref25","first-page":"301","article-title":"The influence of machine tool variability and tool flank wear on surface texture","volume-title":"Proc. 6th Int. MTDR Conf.","author":"Allen"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0007-8506(07)60982-2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1201\/9780203910498"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1125-z"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s001380050109"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1435919"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1504\/IJMMM.2008.023206"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2008.01.005"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2004.02.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11249-005-8303-1"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(01)00074-7"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2013.02.005"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-63143-0_6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1982.4767255"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2013.07.008"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1081\/QEN-200059881"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2012.02.004"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-05303-z"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110773"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechatronics.2008.06.002"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechatronics.2005.09.001"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2005.858535"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109003"},{"key":"ref48","first-page":"250","article-title":"Sensor-based process monitoring of in-situ polymerization in t-rtm manufacturing with caprolactam","volume-title":"Proc. SAMPE Eur. Conf.","author":"Faber"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1115\/1.4002022"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/0890-6955(90)90009-8"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.wear.2011.01.038"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1115\/1.4031770"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-3157-5"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1115\/1.4060388"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2020.08.029"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2697842"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2020.06.015"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04464-w"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11465-023-0774-y"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2022.02.024"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2024.2397817"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1515\/teme-2020-0058"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-1768-5"},{"key":"ref64","first-page":"423","article-title":"Optimization of cutting forces during turning of composite materials","volume":"8","author":"Salur","year":"2020","journal-title":"Acad. Platf. J. Eng. Sci"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s40436-017-0179-4"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008980821787"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/S0952-1976(02)00004-0"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2004.06.016"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2006.07.009"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1080\/0020754031000073017"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-011-3536-7"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2014.12.010"},{"key":"ref73","first-page":"6","article-title":"Monitoring the flank wear using piezoelectric of rotating tool of main cutting force in end milling","volume":"78","author":"Tahir","year":"2016","journal-title":"Jurnal Teknologi"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2018.1550681"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.03.043"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.045"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.06.021"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01488-7"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2014.10.011"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01559-0"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108021"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1504\/IJMMM.2022.122785"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2023.06.092"},{"key":"ref84","first-page":"13","article-title":"Intelligent monitoring of milling tool wear based on milling force signals and deep learning","volume":"85","author":"Wang","year":"2023","journal-title":"J. Manuf. Processes"},{"key":"ref85","article-title":"Making informed decisions in cutting tool maintenance in milling: A KNN-based model agnostic approach","author":"Wahul","year":"2023","journal-title":"arXiv:2310.14629"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02099-z"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.3390\/s24082490"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2024.09.038"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1080\/00207540600677781"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.3390\/s20164377"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-007-1186-6"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2007.09.012"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1243\/13506501JET518"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-011-3703-x"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2014.01.004"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.jestch.2016.05.009"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-017-0252-y"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2018.11.001"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2996607"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9976939"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2022.102391"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1007\/s42417-023-01135-9"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108686"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115247"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.3390\/app15052336"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2025.117183"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-92178-3"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.3390\/s20174657"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-2341-y"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2009.05.008"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.2001.1460"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-012-4039-x"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109038"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2019.10.031"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2020.116901"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1142\/S1469026818500177"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1115\/1.4037553"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2024.111163"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2024.01.010"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-014-5679-9"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1520\/SSMS20190020"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.3390\/s21010108"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2007.04.013"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1007\/s12289-010-0807-z"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1177\/0954406214528888"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2016.03.010"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1002\/qre.2032"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-2420-0"},{"key":"ref129","first-page":"88321","article-title":"Tool condition monitoring using spindle motor current signals for milling operations","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Access"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2995586"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3077995"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3330587"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/SAFEPROCESS58597.2023.10295585"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2024.102888"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.3390\/machines13040276"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2010.05.010"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2016.11.016"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-017-1251-8"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.02.016"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2018.06.195"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1016\/j.triboint.2019.02.027"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2020.01.010"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.3390\/ma13194242"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1016\/j.wear.2021.203902"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1007\/s11465-021-0661-3"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2025.03.068"},{"key":"ref147","article-title":"Explainable AI for tool wear prediction in turning","author":"Valizadeh Sotubadi","year":"2023","journal-title":"arXiv:2308.08765"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2025.112444"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2025.112444"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1969\/1\/012039"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.36001\/ijphm.2020.v11i2.2929"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1016\/j.mspro.2014.07.501"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.107671"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1007\/s40436-020-00299-x"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2020.09.029"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-09941-3"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-023-11845-9"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110241"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110885"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110467"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.3390\/jsan13040042"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.3390\/pr13010013"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1007\/s10921-018-0474-4"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(00)00030-4"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2015.07.218"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1016\/j.surfcoat.2016.11.080"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01663-1"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2022.200112"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2023.101308"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-023-12700-7"},{"issue":"1","key":"ref171","article-title":"Application of audible sound signals in tool wear monitoring: A review","volume":"5","author":"Guochao","year":"2025","journal-title":"Adv. Manufacturing Sci. Technol."},{"key":"ref172","article-title":"Tool wear prediction in CNC turning operations using ultrasonic microphone arrays and CNNs","author":"Steckel","year":"2024","journal-title":"arXiv:2406.08957"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN58382.2024.10774310"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1115\/1.4051234"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1784\/insi.2014.57.1.9"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2006.02.019"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(99)00080-2"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/12\/8\/335"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-010-2795-z"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2012.05.020"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2013.08.005"},{"issue":"23","key":"ref182","first-page":"1112","article-title":"Monitoring the temperature of the milling process using infrared camera","volume":"7","author":"Lauro","year":"2013","journal-title":"Sci. Res. Essays"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2020.09.025"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-08282-x"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108043"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00050-7"},{"issue":"8","key":"ref187","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1016\/S0890-6955(99)00122-4","article-title":"Sensor signals for tool-wear monitoring in metal cutting operations\u2014A review of methods","volume":"40","author":"Snr","year":"2000","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-05236-7"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2015.07.218"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-016-8567-7"},{"issue":"6","key":"ref191","first-page":"392","article-title":"Wear analysis of TiAlN and TiCN\/Al2O3\/TiN coated carbide tools in dry turning of aisi 4140 steel","volume":"9","author":"Melgar","year":"2018","journal-title":"Coatings"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2020.05.015"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.3390\/ma13132926"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.3390\/ma12193091"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2021.09.119"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2021.02.042"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM51084.2021.9486491"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-10485-9"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-09417-4"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-023-10833-3"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-023-11113-w"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02202-4"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2023.2257648"},{"issue":"2","key":"ref204","first-page":"132","article-title":"Combining sensor fusion and a machine learning framework for cutting tool condition monitoring","volume":"13","author":"Kaliyannan","year":"2025","journal-title":"J. Sensor Actuator Netw."},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1016\/j.protcy.2014.08.067"},{"key":"ref206","first-page":"186","article-title":"Investigation of surface roughness values resulting from turning aisi 1040 steel with RSM and ANN","volume":"7","author":"Akkus","year":"2020","journal-title":"BSEU J. Sci."},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-015-0931-2"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.06.055"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1016\/j.icheatmasstransfer.2020.104713"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.3103\/S1068798X19100253"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.3390\/app10113941"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1007\/s13198-020-00986-9"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.3934\/matersci.2021001"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108582"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1016\/j.clet.2020.100034"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.3390\/s21165338"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2021.12.063"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2022.09.067"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.3390\/ma15051940"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.3390\/met13010096"},{"key":"ref221","first-page":"1","article-title":"Effect of cutting parameters on tool life and cutting temperature in milling of AISI 1038 carbon steel","volume":"2023","author":"Soori","year":"2023","journal-title":"J. New Technol. Mater."},{"key":"ref222","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.05.016"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1115\/1.4067496"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.3390\/met14111205"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-55551-2"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2014.04.005"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-004-2420-0"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2007.04.001"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-015-7744-4"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-017-0134-0"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.3233\/IDT-180332"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.022"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-1683-9"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.3390\/s19183817"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109329"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.3390\/s21134432"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1002\/int.22493"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.3390\/s23031208"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1299\/jamdsm.2023jamdsm0034"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.9744\/jti.25.1.1-16"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-024-06200-w"},{"key":"ref242","first-page":"98","article-title":"Tool wear monitoring using an online, automatic and low-cost system based on local texture","volume":"112","author":"Nakano","year":"2024","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2024.12.004"},{"issue":"6","key":"ref244","first-page":"8","article-title":"Infrared monitoring of aluminium milling processes for reduction of environmental impacts","volume":"6","author":"Simeone","year":"2017","journal-title":"Int. Refereed J. Eng. Sci."},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1117\/12.946646"},{"issue":"3","key":"ref246","first-page":"405","article-title":"Integrating SPC and EPC for multivariate autocorrelated process","volume":"17","author":"Tong","year":"2005","journal-title":"Quality Eng."},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2016.12.009"},{"issue":"5","key":"ref248","first-page":"2345","article-title":"Tool wear monitoring of a retrofitted cnc milling machine using artificial neural networks","volume":"103","author":"Doe","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2019.08.001"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103753"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-05322-w"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.3390\/s20102878"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108810"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108585"},{"issue":"4","key":"ref255","first-page":"345","article-title":"Tool condition monitoring for high-performance machining systems","volume":"121","author":"Garcia","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1088\/2631-8695\/acbfa6"},{"key":"ref257","article-title":"Design, fabrication, and characterization of electro-optic radio-frequency probes for high field environments","author":"Sherburne","year":"2024"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2025.103176"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.3390\/machines13020132"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4976-7_6-1"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-017-1391-x"},{"key":"ref262","first-page":"220","article-title":"Intelligent wireless sensor network for real-time monitoring of tool wear in CNC milling","volume-title":"Proc. IEEE Sensors Conf.","author":"Zhang"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2016.03.203"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2022.05.009"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2007.01.004"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4976-7_6-1"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2014.12.037"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04088-0"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.3390\/s18113866"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1007\/11893295_56"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.021"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982800"},{"issue":"1","key":"ref273","first-page":"141","article-title":"Force prediction and cutting-parameter optimization in micro-milling for medical manufacturing","volume":"69","author":"Singh","year":"2020","journal-title":"CIRP Ann.-Manuf. Technol."},{"issue":"1","key":"ref274","first-page":"67","article-title":"Modeling study of milling force considering tool runout at different radial cutting depths","volume":"98","author":"Chen","year":"2022","journal-title":"J. Mach. Tools Precis. Eng."},{"key":"ref275","article-title":"Prediction of milling force based on identified time-frequency domain parameters","volume":"174","author":"Zhang","year":"2022","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2022.05.187"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-023-12046-0"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.3390\/s24237458"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.04.035"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.3390\/machines13010072"},{"issue":"3","key":"ref281","first-page":"89","article-title":"Study of cutting force predictability and signal complexity of different end milling modelling techniques","volume":"98","author":"Chen","year":"2025","journal-title":"Precis. Eng."},{"key":"ref282","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-011-3814-4"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108649"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(02)00038-X"},{"key":"ref285","first-page":"6","article-title":"Acoustic emission based tool condition monitoring system in drilling","volume-title":"Proc. World Congr. Eng.","volume":"3","author":"Patra"},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93250-3_18"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1177\/0954405412458047"},{"key":"ref288","first-page":"978","article-title":"Studies on Bayes classifier for condition monitoring of single point carbide tipped tool","volume-title":"Proc. World Congr. Eng.","volume":"1","author":"Singh"},{"key":"ref289","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-50312-3_3"},{"key":"ref290","first-page":"17","volume-title":"Adaptive thresholding for cutter breakage in milling","volume":"55","author":"Vierck","year":"1992"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1016\/0890-6955(93)90090-H"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1177\/0263092316644090"},{"issue":"10","key":"ref293","first-page":"1310","article-title":"Prediction of tool condition during turning of aluminium\/alumina\/graphite hybrid metal matrix composites using machine learning approach","volume":"10","author":"Radhika","year":"2015","journal-title":"J. Eng. Sci. Technol."},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-009-2357-4"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-014-6296-3"},{"key":"ref296","doi-asserted-by":"publisher","DOI":"10.1016\/0890-6955(95)00058-5"},{"key":"ref297","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(03)00023-3"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-014-6560-6"},{"issue":"5","key":"ref299","article-title":"Bayesian monitoring of machining processes using non-intrusive sensing techniques","volume":"134","author":"Smith","year":"2012","journal-title":"J. Manuf. Sci. Eng."},{"key":"ref300","first-page":"1","article-title":"Wavelet packet feature extraction for vibration monitoring in high speed milling","volume-title":"Proc. 18th Int. Congr. Mech. Eng.","author":"Romero"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.3390\/jmmp6020042"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmecsci.2019.105254"},{"key":"ref303","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-025-15026-8"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.11.003"},{"key":"ref305","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/1908485"},{"key":"ref306","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2004.09.002"},{"issue":"1","key":"ref307","first-page":"38","article-title":"Variational mode decomposition for rotating machinery condition monitoring using vibration signals","volume":"35","author":"Isham","year":"2018","journal-title":"Trans. Nanjing Univ. Aeronaut. Astronaut."},{"issue":"1","key":"ref308","first-page":"81","article-title":"Vibration based fault diagnosis of a hydraulic brake system using variational mode decomposition (vmd)","volume":"10","author":"Jegadeeshwaran","year":"2014","journal-title":"Structural Durability Health Monitor."},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1115\/1.4032568"},{"key":"ref310","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.08.002"},{"key":"ref311","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924056"},{"key":"ref312","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-06129-5"},{"key":"ref313","doi-asserted-by":"publisher","DOI":"10.1115\/1.4040267"},{"key":"ref314","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.11.420"},{"key":"ref315","doi-asserted-by":"publisher","DOI":"10.1115\/1.4044248"},{"key":"ref316","volume-title":"Maintaining IT System Uptime\u2014Don\u2019t Depend on the Luck of the Irish","year":"2023"},{"key":"ref317","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2020.05.163"},{"key":"ref318","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106600"},{"key":"ref319","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2018.11.011"},{"key":"ref320","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840831"},{"key":"ref321","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-68005-2_18"},{"key":"ref322","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2024.09.023"},{"issue":"2","key":"ref323","first-page":"120","article-title":"Using AI and machine learning for condition monitoring","volume":"15","author":"Doe","year":"2024","journal-title":"J. Intell. Maintenance Syst."},{"key":"ref324","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-024-13884-2"},{"key":"ref325","article-title":"Predictive maintenance for edge-based sensor networks: A deep reinforcement learning approach","author":"Shen Hoong Ong","year":"2020","journal-title":"arXiv:2007.03313"},{"issue":"3","key":"ref326","first-page":"150","article-title":"Predictive maintenance through condition monitoring","volume":"18","author":"Doe","year":"2024","journal-title":"J. Ind. Maintenance Rel."},{"key":"ref327","article-title":"Predictive maintenance using machine learning","author":"Kane","year":"2022","journal-title":"arXiv:2205.09402"},{"key":"ref328","doi-asserted-by":"publisher","DOI":"10.1201\/9781003143376-15"},{"key":"ref329","article-title":"Federated deep learning: A conceptual model and applied framework for Industry 4.0","volume-title":"Proc. Americas Conf. Inf. Syst.","volume":"24","author":"Elnagar"},{"key":"ref330","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1836419"},{"key":"ref331","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2022.2154403"},{"key":"ref332","doi-asserted-by":"publisher","DOI":"10.1186\/s13677-022-00314-5"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11031427.pdf?arnumber=11031427","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T05:29:31Z","timestamp":1750829371000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11031427\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":332,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3579204","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}