{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T02:44:23Z","timestamp":1773197063471,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T00:00:00Z","timestamp":1649203200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T00:00:00Z","timestamp":1649203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s00500-022-07028-5","type":"journal-article","created":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T17:04:07Z","timestamp":1649264647000},"page":"11935-11949","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4310-5534","authenticated-orcid":false,"given":"Hicham","family":"Talhaoui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tarek","family":"Ameid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oualid","family":"Aissa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelhalim","family":"Kessal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,6]]},"reference":[{"key":"7028_CR1","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.ymssp.2017.02.014","volume":"93","author":"M Abd-el Malek","year":"2017","unstructured":"Abd-el Malek M, Abdelsalam AK, Hassan OE (2017) Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform. Mech Syst Signal Process 93:332\u2013350. https:\/\/doi.org\/10.1016\/j.ymssp.2017.02.014","journal-title":"Mech Syst Signal Process"},{"key":"7028_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-021-96601-3","volume":"11","author":"A Al-ali","year":"2021","unstructured":"Al-ali A, Elharrouss O, Qidwai U, Al-Maaddeed S (2021) ANFIS-Net for automatic detection of COVID-19. Sci Rep 11:1\u201313. https:\/\/doi.org\/10.1038\/s41598-021-96601-3","journal-title":"Sci Rep"},{"key":"7028_CR3","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIA.2019.2895797","volume":"55","author":"MZ Ali","year":"2019","unstructured":"Ali MZ, Shabbir MNSK, Liang X, Zhang Y, Hu T (2019) Machine learning based fault diagnosis for single- and multi-faults in induction motors using measured stator currents and vibration signals. IEEE Trans Ind Appl 55:2378\u20132391. https:\/\/doi.org\/10.1109\/TIA.2019.2895797","journal-title":"IEEE Trans Ind Appl"},{"key":"7028_CR4","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.measurement.2017.07.039","volume":"111","author":"T Ameid","year":"2017","unstructured":"Ameid T, Menacer A, Talhaoui H, Harzelli I (2017) Rotor resistance estimation using Extended Kalman filter and spectral analysis for rotor bar fault diagnosis of sensorless vector control induction motor. Measurement 111:243\u2013259. https:\/\/doi.org\/10.1016\/j.measurement.2017.07.039","journal-title":"Measurement"},{"key":"7028_CR5","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.isatra.2018.04.019","volume":"79","author":"T Ameid","year":"2018","unstructured":"Ameid T, Menacer A, Talhaoui H, Azzoug Y (2018) Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive. ISA Trans 79:217\u2013231. https:\/\/doi.org\/10.1016\/j.isatra.2018.04.019","journal-title":"ISA Trans"},{"key":"7028_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/2050-7038.13150","volume":"31","author":"T Ameid","year":"2021","unstructured":"Ameid T, Talhaoui H, Azzoug Y, Chebaani M, Laidoudi A (2021) Rotor fault detection using hybrid signal processing approach for sensorless backstepping control driven induction motor at low-speed operation. Int Trans Elect Energy Syst 31:1\u201326. https:\/\/doi.org\/10.1002\/2050-7038.13150","journal-title":"Int Trans Elect Energy Syst"},{"key":"7028_CR7","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.epsr.2016.09.031","volume":"143","author":"GH Bazan","year":"2017","unstructured":"Bazan GH, Scalassara PR, Endo W, Goedtel A, Godoy WF, Pal\u00e1cios RHC (2017) Stator fault analysis of three-phase induction motors using information measures and artificial neural networks. Elect Power Syst Res 143:347\u2013356. https:\/\/doi.org\/10.1016\/j.epsr.2016.09.031","journal-title":"Elect Power Syst Res"},{"key":"7028_CR8","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.isatra.2016.06.004","volume":"64","author":"B Bessam","year":"2016","unstructured":"Bessam B, Menacer A, Boumehraz M, Cherif H (2016) Detection of broken rotor bar faults in induction motor at low load using neural network. ISA Trans 64:241\u2013246. https:\/\/doi.org\/10.1016\/j.isatra.2016.06.004","journal-title":"ISA Trans"},{"key":"7028_CR9","doi-asserted-by":"publisher","first-page":"4385","DOI":"10.1109\/TIE.2010.2095391","volume":"58","author":"A Bouzida","year":"2011","unstructured":"Bouzida A, Touhami O, Ibtiouen R, Belouchrani A, Fadel M, Rezzoug A (2011) Fault diagnosis in industrial induction machines through discrete wavelet transform. IEEE Trans Ind Elect 58:4385\u20134395. https:\/\/doi.org\/10.1109\/TIE.2010.2095391","journal-title":"IEEE Trans Ind Elect"},{"key":"7028_CR10","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1109\/TIM.2016.2647458","volume":"66","author":"J Burriel-Valencia","year":"2017","unstructured":"Burriel-Valencia J, Puche-Panadero R, Martinez-Roman J, Sapena-Bano A, Pineda-Sanchez M (2017) Short frequency fourier transform for fault diagnosis of induction machines working in transient regime. IEEE Trans Instrum Measur 66:432\u2013440. https:\/\/doi.org\/10.1109\/TIM.2016.2647458","journal-title":"IEEE Trans Instrum Measur"},{"key":"7028_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/electronics8010006","volume":"8","author":"J Burriel-Valencia","year":"2019","unstructured":"Burriel-Valencia J, Puche-Panadero R, Martinez-Roman J, Sapena-Bano M, Pineda-Sanchez A, Perez-Cruz J, Riera-Guasp M (2019) Automatic fault diagnostic system for induction motors under transient regime optimized with expert systems. Electronics 8:1\u201316. https:\/\/doi.org\/10.3390\/electronics8010006","journal-title":"Electronics"},{"key":"7028_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/etep.2612","volume":"28","author":"K Chahine","year":"2018","unstructured":"Chahine K (2018) Rotor fault diagnosis in induction motors by the matrix pencil method and support vector machine. Int Trans Elect Energy Syst 28:1\u201313. https:\/\/doi.org\/10.1002\/etep.2612","journal-title":"Int Trans Elect Energy Syst"},{"key":"7028_CR13","doi-asserted-by":"publisher","unstructured":"Cherif H, Menacer A, Bessam B, Kechida R (2015) Stator inter turns fault detection using discrete wavelet transform. In: International symposium on diagnostics for electrical machines, power electronics and drives (SDEMPED). IEEE, Guarda, Portugal. doi:https:\/\/doi.org\/10.1109\/DEMPED.2015.7303681","DOI":"10.1109\/DEMPED.2015.7303681"},{"key":"7028_CR14","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/S0255-2701(99)00086-0","volume":"39","author":"A Chouai","year":"2000","unstructured":"Chouai A, Cabassud M, Lann MVL, Gourdon C, Casamatta G (2000) Use of neural networks for liquid-liquid extraction column modeling: an experimental study. Chem Eng Process 39:171\u2013180. https:\/\/doi.org\/10.1016\/S0255-2701(99)00086-0","journal-title":"Chem Eng Process"},{"key":"7028_CR15","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1007\/s10489-016-0792-0","volume":"45","author":"S Das","year":"2016","unstructured":"Das S, Guha D, Dutta B (2016) Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic. Appl Intell 45:850\u2013867. https:\/\/doi.org\/10.1007\/s10489-016-0792-0","journal-title":"Appl Intell"},{"key":"7028_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/1361-6501\/aad3aa","volume":"29","author":"JJ De Santiago-Perez","year":"2018","unstructured":"De Santiago-Perez JJ, Rivera-Guillen JR, Amezquita-Sanchez JP, Valtierra-Rodriguez M, Romero-Troncoso RJ, Dominguez-Gonzalez A (2018) Fourier transform and image processing for automatic detection of broken rotor bars in induction motors. Measur Sci Technol 29:1\u201329. https:\/\/doi.org\/10.1088\/1361-6501\/aad3aa","journal-title":"Measur Sci Technol"},{"key":"7028_CR17","doi-asserted-by":"publisher","unstructured":"Dias CG, Chabu LE (2008) A fuzzy logic approach for the detection of broken rotor bars in squirrel cage induction motors. In: International Conference on Fuzzy Systems. IEEE, Hong Kong, China. doi:https:\/\/doi.org\/10.1109\/FUZZY.2008.4630642","DOI":"10.1109\/FUZZY.2008.4630642"},{"key":"7028_CR18","doi-asserted-by":"publisher","first-page":"2519","DOI":"10.1007\/s12652-019-01307-0","volume":"11","author":"I Harzelli","year":"2020","unstructured":"Harzelli I, Menacer A, Ameid T (2020) A fault monitoring approach using model-based and neural network techniques applied to input\u2013output feedback linearization control induction motor. J Ambi Intell Hum Comput 11:2519\u20132538. https:\/\/doi.org\/10.1007\/s12652-019-01307-0","journal-title":"J Ambi Intell Hum Comput"},{"key":"7028_CR19","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1049\/iet-epa.2018.0054","volume":"12","author":"OE Hassan","year":"2018","unstructured":"Hassan OE, Amer M, Abdelsalam AK, Williams BW (2018) Induction motor broken rotor bar fault detection techniques based on fault signature analysis: a review. IET Elect Power Appl 12:895\u2013907. https:\/\/doi.org\/10.1049\/iet-epa.2018.0054","journal-title":"IET Elect Power Appl"},{"key":"7028_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/etep.2764","volume":"29","author":"M Hassanzadeh","year":"2018","unstructured":"Hassanzadeh M, Faiz J, Kiyoumarsi A (2018) A new analytical technique for analysis and detection of air-gap eccentricity fault in surface-mounted permanent-magnet. Int Trans Elect Energy Syst 29:1\u201325. https:\/\/doi.org\/10.1002\/etep.2764","journal-title":"Int Trans Elect Energy Syst"},{"key":"7028_CR21","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.cjche.2021.03.057","volume":"40","author":"GKM Hong","year":"2021","unstructured":"Hong GKM, Hussain MA, Wahab AKA (2021) Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage. Chin J Chem Eng 40:149\u2013159. https:\/\/doi.org\/10.1016\/j.cjche.2021.03.057","journal-title":"Chin J Chem Eng"},{"key":"7028_CR22","doi-asserted-by":"publisher","first-page":"2431","DOI":"10.32604\/cmc.2021.015352","volume":"67","author":"M Jayalakshmi","year":"2021","unstructured":"Jayalakshmi M, Garg L, Maharajan K, Jayakumar K, Srinivasan K, Bashir AK, Ramesh K (2021) Fuzzy logic-based health monitoring system for covid\u201919 patients. Comput Mater Continua 67:2431\u20132447. https:\/\/doi.org\/10.32604\/cmc.2021.015352","journal-title":"Comput Mater Continua"},{"key":"7028_CR23","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/s11668-013-9681-6","volume":"13","author":"R Kechida","year":"2013","unstructured":"Kechida R, Menacer A, Talhaoui H (2013) Approach signal for rotor fault detection in induction motors. J Fail Anal Prevent 13:346\u2013352. https:\/\/doi.org\/10.1007\/s11668-013-9681-6","journal-title":"J Fail Anal Prevent"},{"key":"7028_CR24","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1109\/TIA.2009.2018975","volume":"45","author":"SH Kia","year":"2009","unstructured":"Kia SH, Henao H, Capolino GA (2009) Diagnosis of broken-bar fault in induction machines using discrete wavelet transform without slip estimation. IEEE Trans Ind Appl 45:1395\u20131404. https:\/\/doi.org\/10.1109\/TIA.2009.2018975","journal-title":"IEEE Trans Ind Appl"},{"key":"7028_CR25","doi-asserted-by":"publisher","first-page":"1312","DOI":"10.35833\/MPCE.2021.000362","volume":"9","author":"T Li","year":"2021","unstructured":"Li T, Li Y, Chen X (2021) Fault diagnosis with wavelet packet transform and principal component analysis for multi-terminal hybrid HVDC network. J Mod Power Syst Clean Energy 9:1312\u20131326. https:\/\/doi.org\/10.35833\/MPCE.2021.000362","journal-title":"J Mod Power Syst Clean Energy"},{"key":"7028_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.oceaneng.2021.109890","volume":"241","author":"DV Lyridis","year":"2021","unstructured":"Lyridis DV (2021) An improved ant colony optimization algorithm for unmanned surface vehicle local path planning with multi-modality constraints. Ocean Eng 241:1\u20137. https:\/\/doi.org\/10.1016\/j.oceaneng.2021.109890","journal-title":"Ocean Eng"},{"key":"7028_CR27","doi-asserted-by":"publisher","first-page":"2442","DOI":"10.1177\/0954407021995390","volume":"235","author":"B Ma","year":"2021","unstructured":"Ma B, Wang Y (2021) Adaptive type-2 fuzzy sliding mode control of steer-by-wire systems with event-triggered communication. Proc Instit Mech Eng D J Automob Eng 235:2442\u20132455. https:\/\/doi.org\/10.1177\/0954407021995390","journal-title":"Proc Instit Mech Eng D J Automob Eng"},{"key":"7028_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2021.100257","author":"PKR Maddikunta","year":"2021","unstructured":"Maddikunta PKR, Pham QV, Prabadevi B, Deepa N, Dev K, Gadekallu TR, Ruby R, Liyanage M (2021) Industry 5.0: a survey on enabling technologies and potential applications. J Ind Inform Integr. https:\/\/doi.org\/10.1016\/j.jii.2021.100257","journal-title":"J Ind Inform Integr"},{"key":"7028_CR29","doi-asserted-by":"publisher","first-page":"2215","DOI":"10.1109\/TIA.2018.2801863","volume":"54","author":"I Martin-Diaz","year":"2018","unstructured":"Martin-Diaz I, Morinigo-Sotelo D, Duque-Perez O, Romero Troncoso RJ (2018) An experimental comparative evaluation of machine learning techniques for motor fault diagnosis under various operating conditions. IEEE Trans Ind Appl 54:2215\u20132224. https:\/\/doi.org\/10.1109\/TIA.2018.2801863","journal-title":"IEEE Trans Ind Appl"},{"key":"7028_CR30","doi-asserted-by":"publisher","first-page":"2711","DOI":"10.1109\/TIA.2017.2657478","volume":"53","author":"J Martinez","year":"2017","unstructured":"Martinez J, Belahcen A, Muetze A (2017) Analysis of the vibration magnitude of an induction motor with different numbers of broken bars. IEEE Trans Ind Appl 53:2711\u20132720. https:\/\/doi.org\/10.1109\/TIA.2017.2657478","journal-title":"IEEE Trans Ind Appl"},{"key":"7028_CR31","doi-asserted-by":"publisher","unstructured":"Menacer A, Moreau S, Benakcha A, Nait Said MS (2006) Effect of the position and the number of broken bars on asynchronous motor stator current spectrum. In: Proceedings of the 12th international power electronics and motion control conference, IEEE, Portoroz, Slovenia. DOI:\u00a0https:\/\/doi.org\/10.1109\/EPEPEMC.2006.4778526","DOI":"10.1109\/EPEPEMC.2006.4778526"},{"key":"7028_CR32","doi-asserted-by":"publisher","unstructured":"Moosavi SS, Esmaili Q, Djerdir A, Ait AY (2017) Inter-Turn fault detection in stator winding of PMSM using wavelet transform. In: Vehicle power and propulsion conference (VPPC), IEEE. Belfort, France. doi:https:\/\/doi.org\/10.1109\/VPPC.2017.8330891","DOI":"10.1109\/VPPC.2017.8330891"},{"key":"7028_CR33","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1109\/ICPACE.2015.7274965","volume":"4","author":"GJ Naveena","year":"2015","unstructured":"Naveena GJ, Basawaraj H, Surya N (2015) Fault diagnosis of VSI fed induction motor drive using fuzzy logic approach. Int J Sci Technol Manag 4:115\u2013126. https:\/\/doi.org\/10.1109\/ICPACE.2015.7274965","journal-title":"Int J Sci Technol Manag"},{"key":"7028_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/en12050794","volume":"12","author":"M Nemec","year":"2019","unstructured":"Nemec M, Ambro\u017eic V, Fi\u0161er R, Nedeljkovic D, Drobni K (2019) Induction motor broken rotor bar detection based on rotor flux angle monitoring. Energies 12:1\u201317. https:\/\/doi.org\/10.3390\/en12050794","journal-title":"Energies"},{"key":"7028_CR35","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.apenergy.2004.07.004","volume":"82","author":"SOT Ogaji","year":"2005","unstructured":"Ogaji SOT, Marinai L, Sampath S, Singh R, Prober SD (2005) Gas-turbine fault diagnostics: a fuzzy-logic approach. Appl Energy 82:81\u201389. https:\/\/doi.org\/10.1016\/j.apenergy.2004.07.004","journal-title":"Appl Energy"},{"key":"7028_CR36","unstructured":"Oran Brigham E (1988) Fast Fourier transform and its applications. Prentice-Hall Signal Processing Series."},{"key":"7028_CR37","doi-asserted-by":"publisher","first-page":"2758","DOI":"10.1109\/TII.2017.2755064","volume":"13","author":"R Razavi-Far","year":"2017","unstructured":"Razavi-Far R, Farajzadeh-Zanjani M, Saif M (2017) An integrated class-imbalanced learning scheme for diagnosing bearing defects ininduction motors. IEEE Trans Ind Inform 13:2758\u20132769. https:\/\/doi.org\/10.1109\/TII.2017.2755064","journal-title":"IEEE Trans Ind Inform"},{"key":"7028_CR38","doi-asserted-by":"publisher","first-page":"4615","DOI":"10.1109\/TIE.2009.2029580","volume":"56","author":"H Razik","year":"2009","unstructured":"Razik H, De Rossiter Corr\u00eaa MB, Da Silva ERC (2009) A Novel monitoring of load level and broken bar fault severity applied to squirrel-cage induction motors using a genetic algorithm. IEEE Trans Ind Elect 56:4615\u20134626. https:\/\/doi.org\/10.1109\/TIE.2009.2029580","journal-title":"IEEE Trans Ind Elect"},{"key":"7028_CR39","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s12065-019-00327-1","volume":"13","author":"GT Reddy","year":"2020","unstructured":"Reddy GT, Reddy MPK, Lakshmanna K, Rajput DS, Kaluri R, Srivastava G (2020) Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evolut Intell 13:185\u2013196. https:\/\/doi.org\/10.1007\/s12065-019-00327-1","journal-title":"Evolut Intell"},{"key":"7028_CR40","doi-asserted-by":"publisher","unstructured":"Ruiming F, Hongzhong M (2006) Application of MCSA and SVM to induction machine rotor fault diagnosis. In: Proceedings of the 6th world congress on intelligent control and automation, IEEE. Dalian, China. doi:https:\/\/doi.org\/10.1109\/WCICA.2006.1714134","DOI":"10.1109\/WCICA.2006.1714134"},{"key":"7028_CR41","doi-asserted-by":"publisher","unstructured":"Saghafinia A, Kahourzade S, Mahmoudi A, Hew WP, Uddin MN (2012) On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars. In: IEEE Industry Applications Society Annual Meeting, IEEE, Las Vegas, NV, USA. doi:https:\/\/doi.org\/10.1109\/IAS.2012.6374027","DOI":"10.1109\/IAS.2012.6374027"},{"key":"7028_CR42","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1109\/TEC.2016.2626008","volume":"32","author":"A Sapena-Bano","year":"2017","unstructured":"Sapena-Bano A, Burriel-Valencia J, Pineda-Sanchez M, Puche-Panadero R, Riera-Guasp M (2017) The harmonic order tracking analysis method for the fault diagnosis in induction motors under time-varying conditions. IEEE Trans Energy Conver 32:244\u2013256. https:\/\/doi.org\/10.1109\/TEC.2016.2626008","journal-title":"IEEE Trans Energy Conver"},{"key":"7028_CR43","doi-asserted-by":"publisher","first-page":"3261","DOI":"10.1109\/TII.2018.2819674","volume":"14","author":"C Sun","year":"2018","unstructured":"Sun C, Ma M, Zhao Z, Chen X (2018) Sparse deep stacking network for fault diagnosis of motor. IEEE Trans Ind Inform 14:3261\u20133270. https:\/\/doi.org\/10.1109\/TII.2018.2819674","journal-title":"IEEE Trans Ind Inform"},{"key":"7028_CR44","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1016\/j.isatra.2014.06.003","volume":"53","author":"H Talhaoui","year":"2014","unstructured":"Talhaoui H, Menacer A, Kessal A, Kechida R (2014) Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis. ISA Trans 53:1639\u20131649. https:\/\/doi.org\/10.1016\/j.isatra.2014.06.003","journal-title":"ISA Trans"},{"key":"7028_CR45","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1007\/s00170-017-1309-7","volume":"95","author":"H Talhaoui","year":"2017","unstructured":"Talhaoui H, Menacer A, Kessal A, Ameid T (2017) Experimental diagnosis of broken rotor bars fault in induction machine based on Hilbert and discrete wavelet transforms. Int J Adv Manuf Technol 95:1399\u20131408. https:\/\/doi.org\/10.1007\/s00170-017-1309-7","journal-title":"Int J Adv Manuf Technol"},{"key":"7028_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03172-2","author":"H Talhaoui","year":"2021","unstructured":"Talhaoui H, Kessal AT, A, (2021) Energy eigenvalues and neural network analysis for broken bars fault diagnosis in induction machine under variable load: experimental study. J Ambient Intell Hum Comput. https:\/\/doi.org\/10.1007\/s12652-021-03172-2","journal-title":"J Ambient Intell Hum Comput"},{"key":"7028_CR47","doi-asserted-by":"publisher","unstructured":"Talhaoui H, Menacer A, Kechida R (2015) Mixed eccentricity fault diagnosis in the sensorless field oriented control induction motor using DWT technique. In: International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, Guarda, Portugal. doi:https:\/\/doi.org\/10.1109\/DEMPED.2015.7303675","DOI":"10.1109\/DEMPED.2015.7303675"},{"key":"7028_CR48","doi-asserted-by":"publisher","first-page":"3143","DOI":"10.1007\/s00500-020-05370-0","volume":"25","author":"P Veeramanikandan","year":"2021","unstructured":"Veeramanikandan P, Selvaperumal S (2021) Investigation of different MPPT techniques based on fuzzy logic controller for multilevel DC link inverter to solve the partial shading. Soft Comput 25:3143\u20133154. https:\/\/doi.org\/10.1007\/s00500-020-05370-0","journal-title":"Soft Comput"},{"key":"7028_CR49","doi-asserted-by":"publisher","first-page":"21","DOI":"10.12732\/ijpam.v118i11.4","volume":"118","author":"K Vinoth","year":"2018","unstructured":"Vinoth K, Achenkunju A, Mathew J (2018) A Investigation of fast Fourier transform and wavelet transform approach in electrical machines. Int J Pure Appl Math 118:21\u201327. https:\/\/doi.org\/10.12732\/ijpam.v118i11.4","journal-title":"Int J Pure Appl Math"},{"key":"7028_CR50","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.isatra.2013.12.002","volume":"53","author":"K Yahia","year":"2014","unstructured":"Yahia K, Cardoso AJM, Ghoggal A, Zouzou SE (2014) Induction motors air gap-eccentricity detection through the discrete Wavelet transform of the apparent power signal under non-stationary operating conditions. ISA Trans 53:603\u2013611. https:\/\/doi.org\/10.1016\/j.isatra.2013.12.002","journal-title":"ISA Trans"},{"key":"7028_CR51","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1109\/TPEL.2018.2814615","volume":"34","author":"H Yan","year":"2019","unstructured":"Yan H, Xu Y, Cai F, Zhang H, Zhao W, Gerada C (2019) PWM-VSI fault diagnosis for a PMSM drive based on the Fuzzy logic approach. IEEE Trans Power Elect 34:759\u2013768. https:\/\/doi.org\/10.1109\/TPEL.2018.2814615","journal-title":"IEEE Trans Power Elect"},{"key":"7028_CR52","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inform. Control 8:338\u2013353. https:\/\/doi.org\/10.1016\/S0019-9958(65)90241-X","journal-title":"Control"},{"key":"7028_CR53","doi-asserted-by":"publisher","unstructured":"Zawad MA, Liang X (2019) Induction motor fault diagnosis using discrete wavelet transform. In: Canadian Conference of Electrical and Computer Engineering (CCECE), IEEE, Edmonton, AB, Canada. doi:https:\/\/doi.org\/10.1109\/CCECE.2019.8861923","DOI":"10.1109\/CCECE.2019.8861923"},{"key":"7028_CR54","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/S1006-1266(07)60073-X","volume":"17","author":"J Zhang","year":"2007","unstructured":"Zhang J, Zhu N, Yang L, Yao Q, Lu Q (2007) A fault diagnosis approach for broken rotor bars based on EMD and envelope analysis. J China Univ Min Technol 17:205\u2013209. https:\/\/doi.org\/10.1016\/S1006-1266(07)60073-X","journal-title":"J China Univ Min Technol"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07028-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-022-07028-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07028-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T11:37:51Z","timestamp":1744198671000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-022-07028-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,6]]},"references-count":54,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["7028"],"URL":"https:\/\/doi.org\/10.1007\/s00500-022-07028-5","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,6]]},"assertion":[{"value":"11 March 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 April 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interests regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The ethical approval\u00a0has been respected.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable, because this article does not contain any studies with human or animal subjects.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}