{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T04:47:26Z","timestamp":1777697246363,"version":"3.51.4"},"reference-count":49,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDT"],"published-print":{"date-parts":[[2018,3,7]]},"DOI":"10.3233\/idt-180332","type":"journal-article","created":{"date-parts":[[2018,1,19]],"date-time":"2018-01-19T10:55:26Z","timestamp":1516359326000},"page":"265-282","source":"Crossref","is-referenced-by-count":39,"title":["Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features"],"prefix":"10.1177","volume":"12","author":[{"given":"P.","family":"Krishnakumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Rameshkumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.I.","family":"Ramachandran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDT-180332_ref1","doi-asserted-by":"crossref","unstructured":"Stavropoulos P, Chantzis D, Doukas C, Papacharalampopoulos A, Chryssolouris G. Monitoring and control of manufacturing processes: A review. Procedia CIRP. 2013 Jan 1; 8: 421-5.","DOI":"10.1016\/j.procir.2013.06.127"},{"issue":"1","key":"10.3233\/IDT-180332_ref2","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/S0166-3615(96)00075-9","article-title":"A review of machine vision sensors for tool condition monitoring","volume":"34","author":"Kurada","year":"1997","journal-title":"Computers in industry."},{"issue":"2","key":"10.3233\/IDT-180332_ref3","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1016\/j.cirp.2010.05.010","article-title":"Advanced monitoring of machining operations","volume":"59","author":"Teti","year":"2010","journal-title":"CIRP Annals-Manufacturing Technology."},{"issue":"10","key":"10.3233\/IDT-180332_ref4","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1016\/S0890-6955(02)00059-7","article-title":"Chip disposal state monitoring in drilling using neural network based spindle motor power sensing","volume":"42","author":"Kim","year":"2002","journal-title":"International Journal of Machine Tools and Manufacture."},{"issue":"3","key":"10.3233\/IDT-180332_ref5","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/S0924-0136(02)00201-7","article-title":"AI-based condition monitoring of the drilling process","volume":"124","author":"Brophy","year":"2002","journal-title":"Journal of Materials Processing Technology."},{"issue":"3","key":"10.3233\/IDT-180332_ref6","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.ijmachtools.2007.09.008","article-title":"Complexity measure of motor current signals for tool flute breakage detection in end milling","volume":"48","author":"Li","year":"2008","journal-title":"International Journal of Machine Tools and Manufacture."},{"issue":"6","key":"10.3233\/IDT-180332_ref7","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1016\/S0890-6955(01)00156-0","article-title":"Evaluation of a spindle-based force sensor for monitoring and fault diagnosis of machining operations","volume":"42","author":"Jun","year":"2002","journal-title":"International Journal of Machine Tools and Manufacture."},{"issue":"3","key":"10.3233\/IDT-180332_ref8","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1115\/1.1789531","article-title":"Dynamic compensation of spindle integrated force sensors with Kalman filter","volume":"126","author":"Park","year":"2004","journal-title":"Journal of Dynamic Systems, Measurement, and Control."},{"issue":"1-2","key":"10.3233\/IDT-180332_ref9","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1007\/s00170-005-0350-0","article-title":"Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation","volume":"32","author":"Lee","year":"2007","journal-title":"The International Journal of Advanced Manufacturing Technology."},{"issue":"1","key":"10.3233\/IDT-180332_ref10","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.cirp.2007.05.023","article-title":"An integrated force sensor solution for process monitoring of drilling operations","volume":"56","author":"Byrne","year":"2007","journal-title":"CIRP Annals-Manufacturing Technology."},{"key":"10.3233\/IDT-180332_ref11","doi-asserted-by":"crossref","unstructured":"Cheng C, Wang Z, Hung W, Bukkapatnam ST, Komanduri R. Ultra-precision machining process dynamics and surface quality monitoring. Procedia Manufacturing. 2015 Jan 1; 1: 607-18.","DOI":"10.1016\/j.promfg.2015.09.044"},{"issue":"10","key":"10.3233\/IDT-180332_ref12","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1007\/s001700200080","article-title":"The correlation of vibration signal features to cutting tool wear in a metal turning operation","volume":"19","author":"Dimla","year":"2002","journal-title":"The International Journal of Advanced Manufacturing Technology."},{"issue":"1-2","key":"10.3233\/IDT-180332_ref13","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1007\/s00170-008-1698-8","article-title":"In-process surface roughness prediction system using cutting vibrations in turning","volume":"43","author":"Salgado","year":"2009","journal-title":"The International Journal of Advanced Manufacturing Technology."},{"issue":"12","key":"10.3233\/IDT-180332_ref14","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1016\/j.ijmachtools.2010.08.011","article-title":"A comparative study on dry milling and little quantity lubricant milling based on vibration signals","volume":"50","author":"Zhong","year":"2010","journal-title":"International Journal of Machine Tools and Manufacture."},{"key":"10.3233\/IDT-180332_ref15","doi-asserted-by":"crossref","unstructured":"Lamraoui M, Thomas M, El Badaoui M, Girardin F. Indicators for monitoring chatter in milling based on instantaneous angular speeds. Mechanical Systems and Signal Processing. 2014 Feb 20; 44(1): 72-85.","DOI":"10.1016\/j.ymssp.2013.05.002"},{"key":"10.3233\/IDT-180332_ref16","doi-asserted-by":"crossref","unstructured":"Krishnakumar P, Rameshkumar K, Ramachandran KI. Tool wear condition prediction using vibration signals in high speed machining (HSM) of titanium (Ti-6Al-4V) alloy. Procedia Computer Science. 2015 Jan 1; 50: 270-5.","DOI":"10.1016\/j.procs.2015.04.049"},{"issue":"6","key":"10.3233\/IDT-180332_ref17","doi-asserted-by":"crossref","first-page":"795","DOI":"10.3390\/s16060795","article-title":"Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations","volume":"16","author":"Zhang","year":"2016","journal-title":"Sensors."},{"key":"10.3233\/IDT-180332_ref18","doi-asserted-by":"crossref","unstructured":"Dornfeld DA. Monitoring of the machining process by means of acoustic emission sensors. In: Acoustic Emission: Current Practice and Future Directions 1991 Jan. ASTM International.","DOI":"10.1016\/0963-8695(92)90113-U"},{"key":"10.3233\/IDT-180332_ref19","doi-asserted-by":"crossref","unstructured":"Lei Y, Lin J, He Z, Zuo MJ. A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. 2013 Feb 28; 35(1): 108-26.","DOI":"10.1016\/j.ymssp.2012.09.015"},{"key":"10.3233\/IDT-180332_ref20","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.measurement.2016.06.006","article-title":"Application of acoustic emission sensor to investigate the frequency of tool wear and plastic deformation in tool condition monitoring","volume":"92","author":"Bhuiyan","year":"2016","journal-title":"Measurement."},{"key":"10.3233\/IDT-180332_ref21","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.measurement.2014.08.035","article-title":"Monitoring and processing signal applied in machining processes\u2013A review","volume":"58","author":"Lauro","year":"2014","journal-title":"Measurement."},{"issue":"1","key":"10.3233\/IDT-180332_ref22","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/S0043-1648(97)00137-3","article-title":"Acoustic emission for tool condition monitoring in metal cutting","volume":"212","author":"Ravindra","year":"1997","journal-title":"Wear."},{"issue":"1","key":"10.3233\/IDT-180332_ref23","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1115\/1.2830581","article-title":"Acoustic emission monitoring of tool wear in end-milling using time-domain averaging","volume":"121","author":"Hutton","year":"1999","journal-title":"Journal of Manufacturing Science and Engineering."},{"issue":"1-5","key":"10.3233\/IDT-180332_ref24","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0041-624X(97)00052-8","article-title":"Application of acoustic emission sensor for monitoring machining processes","volume":"36","author":"Inasaki","year":"1998","journal-title":"Ultrasonics."},{"issue":"1","key":"10.3233\/IDT-180332_ref25","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0007-8506(07)62936-9","article-title":"Grinding monitoring system based on power and acoustic emission sensors","volume":"49","author":"Karpuschewski","year":"2000","journal-title":"CIRP Annals-Manufacturing Technology."},{"issue":"5-8","key":"10.3233\/IDT-180332_ref26","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s00170-013-5335-9","article-title":"The relationship between acoustic emission signals and cutting phenomena in turning process","volume":"70","author":"Hase","year":"2014","journal-title":"The International Journal of Advanced Manufacturing Technology."},{"issue":"10","key":"10.3233\/IDT-180332_ref27","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1016\/j.ijmachtools.2008.01.011","article-title":"A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations","volume":"48","author":"Marinescu","year":"2008","journal-title":"International Journal of Machine Tools and Manufacture."},{"issue":"9-12","key":"10.3233\/IDT-180332_ref28","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1007\/s00170-012-4626-x","article-title":"Analysis of acoustic emission in precision and high-efficiency grinding technology","volume":"67","author":"Han","year":"2013","journal-title":"The International Journal of Advanced Manufacturing Technology."},{"key":"10.3233\/IDT-180332_ref29","doi-asserted-by":"crossref","unstructured":"Arun A, Rameshkumar K, Unnikrishnana D, Sumesh A. Tool condition monitoring of cylindrical grinding process using acoustic emission sensor. International Conference on Materials Manufacturing and Modelling (ICMMM-2017).","DOI":"10.1016\/j.matpr.2018.02.162"},{"issue":"4","key":"10.3233\/IDT-180332_ref30","doi-asserted-by":"crossref","first-page":"041015","DOI":"10.1115\/1.4002022","article-title":"Quality and inspection of machining operations: tool condition monitoring","volume":"132","author":"Roth","year":"2010","journal-title":"Journal of Manufacturing Science and Engineering."},{"issue":"12","key":"10.3233\/IDT-180332_ref31","first-page":"147","article-title":"Research on Relationship Between Parameters Correlation of Acoustic Emission and Rock Failure","volume":"183","author":"Dong","year":"2014","journal-title":"Sensors & Transducers."},{"key":"10.3233\/IDT-180332_ref33","doi-asserted-by":"crossref","unstructured":"Sick B. On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research. Mechanical Systems and Signal Processing. 2002 Jul 1; 16(4): 487-546.","DOI":"10.1006\/mssp.2001.1460"},{"key":"10.3233\/IDT-180332_ref34","doi-asserted-by":"crossref","unstructured":"Shi D, Gindy NN. Tool wear predictive model based on least squares support vector machines. Mechanical Systems and Signal Processing. 2007 May 31; 21(4): 1799-814.","DOI":"10.1016\/j.ymssp.2006.07.016"},{"issue":"4","key":"10.3233\/IDT-180332_ref35","doi-asserted-by":"crossref","first-page":"4450","DOI":"10.1016\/j.eswa.2010.09.116","article-title":"Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm","volume":"38","author":"Elangovan","year":"2011","journal-title":"Expert Systems with Applications."},{"issue":"3","key":"10.3233\/IDT-180332_ref36","doi-asserted-by":"crossref","first-page":"2059","DOI":"10.1016\/j.eswa.2009.06.103","article-title":"Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features","volume":"37","author":"Elangovan","year":"2010","journal-title":"Expert Systems with Applications."},{"issue":"12","key":"10.3233\/IDT-180332_ref37","doi-asserted-by":"crossref","first-page":"15202","DOI":"10.1016\/j.eswa.2011.05.081","article-title":"Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool","volume":"38","author":"Elangovan","year":"2011","journal-title":"Expert Systems with Applications."},{"key":"10.3233\/IDT-180332_ref38","doi-asserted-by":"crossref","unstructured":"Wang P, Meng Q, Zhao J, Li J, Wang X. Prediction of machine tool condition using support vector machine. Journal of Physics: Conference Series 2011; 305(1), p. 012113. IOP Publishing.","DOI":"10.1088\/1742-6596\/305\/1\/012113"},{"issue":"11","key":"10.3233\/IDT-180332_ref39","doi-asserted-by":"crossref","first-page":"21588","DOI":"10.3390\/s141121588","article-title":"Force sensor based tool condition monitoring using a heterogeneous ensemble learning model","volume":"14","author":"Wang","year":"2014","journal-title":"Sensors."},{"issue":"8","key":"10.3233\/IDT-180332_ref40","doi-asserted-by":"crossref","first-page":"085307","DOI":"10.1088\/1464-4258\/10\/8\/085307","article-title":"Simultaneous multipoint acoustic emission sensing using fibre acoustic wave grating sensors with identical spectrum","volume":"10","author":"Lee","year":"2008","journal-title":"Journal of Optics A: Pure and Applied Optics."},{"key":"10.3233\/IDT-180332_ref41","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/B978-0-08-052087-2.50017-7","article-title":"Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum description length criterion","volume":"4","author":"Saito","year":"1994","journal-title":"Wavelets in Geophysics."},{"issue":"1","key":"10.3233\/IDT-180332_ref42","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/51.993194","article-title":"Finding coordinated atrial activity during ventricular fibrillation using wavelet decomposition","volume":"21","author":"Addison","year":"2002","journal-title":"IEEE Engineering in Medicine and Biology Magazine."},{"key":"10.3233\/IDT-180332_ref43","unstructured":"Soman KP, Ramachandran KI. Insight into wavelets: From theory to practice. PHI Learning Pvt. Ltd., 2010."},{"key":"10.3233\/IDT-180332_ref44","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.neucom.2013.12.018","article-title":"Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions","volume":"133","author":"Bafroui","year":"2014","journal-title":"Neurocomputing."},{"key":"10.3233\/IDT-180332_ref45","doi-asserted-by":"crossref","unstructured":"Daubechies I. Where do wavelets come from? A personal point of view. Proceedings of the IEEE. 1996 Apr; 84(4): 510-3.","DOI":"10.1109\/5.488696"},{"key":"10.3233\/IDT-180332_ref46","doi-asserted-by":"crossref","unstructured":"Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977 Mar; 1159-74.","DOI":"10.2307\/2529310"},{"key":"10.3233\/IDT-180332_ref49","unstructured":"Rusell S, Norvig P. Artificial intelligent: A modern approach PH. 2003."},{"key":"10.3233\/IDT-180332_ref50","unstructured":"Hinton GE, Rumelhart DE, Williams RJ. Learning internal representations by back-propagating errors. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. 1985; 1."},{"issue":"3","key":"10.3233\/IDT-180332_ref51","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Machine Learning."},{"issue":"3","key":"10.3233\/IDT-180332_ref52","first-page":"27","article-title":"LIBSVM: a library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM transactions on Intelligent Systems and Technology (TIST)."}],"container-title":["Intelligent Decision Technologies"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDT-180332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:22:24Z","timestamp":1777454544000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDT-180332"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,7]]},"references-count":49,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/idt-180332","relation":{},"ISSN":["1872-4981","1875-8843"],"issn-type":[{"value":"1872-4981","type":"print"},{"value":"1875-8843","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,7]]}}}