微特电机 ›› 2023, Vol. 51 ›› Issue (7): 57-66.
孙浩, 孔令崧
收稿日期:
2023-03-02
出版日期:
2023-07-28
发布日期:
2023-07-24
作者简介:
孙浩(1999-),男,硕士研究生,研究方向为电机故障诊断研究。
SUN Hao, KONG Lingsong
Received:
2023-03-02
Online:
2023-07-28
Published:
2023-07-24
摘要: 笼型电机在运行过程中,电气、机械、热、磁和环境应力均可能导致其出现故障。开发一种可靠且高效的笼型电机故障诊断技术逐渐成为一项重要的研究课题。转子断条故障是笼型电机关键故障之一,会影响笼型电机的正常工作,需要对转子断条进行监测,及时发现潜在故障并预警。针对该问题,从电流信号、电压信号、振动信号和声信号这几方面进行分析,对现有的转子断条故障诊断技术进行梳理、归纳,并将各类方法的优势和局限性进行对比分析,总结了笼型电机转子断条故障诊断技术存在的主要问题,并对未来发展趋势进行了展望,旨在给该领域研究人员提供研究思路。
中图分类号:
孙浩, 孔令崧. 基于故障特征分析的笼型电机转子断条故障诊断方法综述[J]. 微特电机, 2023, 51(7): 57-66.
SUN Hao, KONG Lingsong. Review of Fault Diagnosis Methods for Cage Motor Rotor Broken Bars Based on Fault Characteristic Analysis[J]. Small & Special Electrical Machines, 2023, 51(7): 57-66.
[1] | 时献江,王桂荣,司俊山.机械故障诊断及典型案例解析[M].北京:化学工业出版社,2013:88-90. |
[2] | 魏闻达.三相异步电动机转子故障分析与诊断方法研究[D].武汉:华中科技大学,2015. |
[3] | 刘煦阳.基于EMD的电机转子断条故障诊断方法研究[D].鞍山:辽宁科技大学,2019. |
[4] | HARUN M H S,GHAZALI M F,YUSOFF A R.Analysis of tri-axial force and vibration sensors for detection of failure criterion in deep twist drilling process[J].The International Journal of Advanced Manufacturing Technology,2017(89):3535-3545. |
[5] | MORALES-PEREZ C,RANGEL-MAGDALENO J,PEREGRINA-BARRETO H,et al.Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm[J].IEEE Transactions on Instrumentation and Measurement,2018,67(9):2058-2068. |
[6] | KUMAR S,MUKHERJEE D,GUCHHAIT P K,et al.A comprehensive review of condition based prognostic maintenance (CBPM)for induction motor[J].Ieee Access,2019(7):90690-90704. |
[7] | GANGSAR P,TIWARI R.Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: a state-of-the-art review[J].Mechanical systems and signal processing,2020(144):106908. |
[8] | VALLES-NOVO R,DE JESUS RANGEL-MAGDALENO J,RAMIREZ-CORTES J M,et al.Empirical mode decomposition analysis for broken-bar detection on squirrel cage induction motors[J].IEEE Transactions on Instrumentation and Measurement,2014,64(5):1118-1128. |
[9] | SOUSA K M,DA COSTA I B V,MACIEL E S,et al.Broken bar fault detection in induction motor by using optical fiber strain sensors[J].IEEE Sensors Journal,2017,17(12):3669-3676. |
[10] | STEFANI A,YAZIDI A,ROSSI C,et al.Doubly fed induction machines diagnosis based on signature analysis of rotor modulating signals[J].IEEE Transactions on industry applications,2008,44(6):1711-1721. |
[11] | ELTABACH M,CHARARA A,ZEIN I.A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors[J].IEEE Transactions on Industrial Electronics,2004,51(1):107-121. |
[12] | 苟旭丹.基于Hilbert模量与改进BP神经网络的电机转子断条故障诊断[J].电测与仪表,2018,55(3):55-58. |
[13] | 刘利,李广林,刘超,等.永磁同步电机转子初始位置辨识研究综述[J].微特电机,2021,49(9):47-52,62. |
[14] | 钱华明,王雯升.遗传小波神经网络及在电机故障诊断中的应用[J].电子测量与仪器学报,2009,23(3):81-86. |
[15] | SIDDIQUE A,YADAVA G S,SINGH B.A review of stator fault monitoring techniques of induction motors[J].IEEE transactions on energy conversion,2005,20(1):106-114. |
[16] | ZAGIRNYAK M,MAMCHUR D,KALINOV A.A comparison of informative value of motor current and power spectra for the tasks of induction motor diagnostics[C]//2014 16th international power electronics and motion control conference and exposition.IEEE,2014:540-545. |
[17] | FILIPPETTI F,BELLINI A,CAPOLINO G A.Condition monitoring and diagnosis of rotor faults in induction machines:State of art and future perspectives[C]//2013 IEEE Workshop on Electrical Machines Design,Control and Diagnosis (WEMDCD).IEEE,2013:196-209. |
[18] | HENAO H,CAPOLINO G A,FERNANDEZ-CABANAS M,et al.Trends in fault diagnosis for electrical machines: a review of diagnostic techniques[J].IEEE industrial electronics magazine,2014,8(2):31-42. |
[19] | LIU X,YAN Y,HU K,et al.Fault diagnosis of rotor broken bar in induction motor based on successive variational mode decomposition[J].Energies,2022,15(3):1196. |
[20] | BURRIEL-VALENCIA J,PUCHE-PANADERO R,MARTINEZ-ROMAN J,et al.Fault diagnosis of induction machines in a transient regime using current sensors with an optimized slepian window[J].Sensors,2018,18(1):146. |
[21] | AYON-SICAEROS R A,CABAL-YEPEZ E,LEDESMA-CARRILLO L M,et al.Broken-rotor-bar detection through STFT and windowing functions[C]//2019 IEEE Sensors Applications Symposium (SAS).IEEE,2019:1-5. |
[22] | PONS-LLINARES J,RIERA-GUASP M,ANTONINO-DAVIU J A,et al.Pursuing optimal electric machines transient diagnosis:the adaptive slope transform[J].Mechanical Systems and Signal Processing,2016(80):553-569. |
[23] | NICHOGA V,PAVLYSH V,ROMANYSHYN Y.Features of use wavelet transforms for processing and analysis of rail fault detection signals[C]//2010 International Conference on Modern Problems of Radio Engineering,Telecommunications and Computer Science (TCSET).IEEE,2010:295-295. |
[24] | SENTHIL KUMAR R,GERALD CHRISTOPHER RAJ I.Broken rotor bar fault detection using DWT and energy eigenvalue for DTC fed induction motor drive[J].International Journal of Electronics,2021,108(8):1401-1425. |
[25] | GUEDIDI A,LAALA W,GUETTAF A,et al.Diagnosis and classification of broken bars fault using DWT and artificial neural network without slip estimation[C]//2020 XI International Conference on Electrical Power Drive Systems (ICEPDS).IEEE,2020:1-7. |
[26] | ZHEN D,WANG Z,LI H,et al.An improved cyclic modulation spectral analysis based on the CWT and its application on broken rotor bar fault diagnosis for induction motors[J].Applied Sciences,2019,9(18):3902. |
[27] | SHASHIDHARA S,RAJU D P S.Tradeoff analysis of wavelet transform techniques for the detection of broken rotor bars in induction motors[J].Advance in Electronic and Electric Engineering,2013,3(8):1019-1030. |
[28] | BLODT M,CHABERT M,REGNIER J,et al.Mechanical load fault detection in induction motors by stator current time-frequency analysis[J].IEEE Transactions on Industry Applications,2006,42(6):1454-1463. |
[29] | PUCHE-PANADERO R,PINEDA-SANCHEZ M,RIERA-GUASP M,et al.Improved resolution of the MCSA method via Hilbert transform,enabling the diagnosis of rotor asymmetries at very low slip[J].IEEE Transactions on Energy Conversion,2009,24(1):52-59. |
[30] | RAMU S K,IRUDAYARAJ G C R,SUBRAMANI S,et al.Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive[J].IET Power Electronics,2020,13(15):3328-3338. |
[31] | 尹玉鹏,王焕云.基于改进HHT算法的异步电动机故障诊断[J].沧州师范学院学报,2022,38(1):112-114,118. |
[32] | 杨海军,查学刚,赵玉桂,等.基于改进型HHT的转子断条故障诊断方法的研究[J].机械工程师,2021(10):85-88,92. |
[33] | SABBAGHIAN-BIDGOLI F,POSHTAN J.Fault detection of broken rotor bar using an improved form of Hilbert-Huang transform[J].Fluctuation and Noise Letters,2018,17(2):1850012. |
[34] | XU B,SUN L,XU L,et al.Improvement of the Hilbert method via ESPRIT for detecting rotor fault in induction motors at low slip[J].IEEE transactions on energy conversion,2013,28(1):225-233. |
[35] | HASSAN O E,AMER M,ABDELSALAM A K,et al.Induction motor broken rotor bar fault detection techniques based on fault signature analysis-a review[J].IET Electric Power Applications,2018,12(7):895-907. |
[36] | LIU Y,BAZZI A M.A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors:State of the art[J].ISA transactions,2017,70:400-409. |
[37] | MARTIN-DIAZ I,MORINIGO-SOTELO D,DUQUE-PEREZ O,et al.Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis[J].Electric Power Systems Research,2017(152):18-26. |
[38] | ROMERO-TRONCOSO R J,GARCIA-PEREZ A,MORINIGO-SOTELO D,et al.Rotor unbalance and broken rotor bar detection in inverter-fed induction motors at start-up and steady-state regimes by high-resolution spectral analysis[J].Electric Power Systems Research,2016(133):142-148. |
[39] | 朱明飞. 基于OMAP-L138的三相交流异步电机转子故障检测系统的研究[D]. 北京:华北电力大学,2017. |
[40] | 许伯强,孙丽玲.基于ESPRIT与Duffing系统的笼型异步电动机转子断条故障检测[J].电力自动化设备,2020,40(2):117-123. |
[41] | VALLES-NOVO R,DE JESUS RANGEL-MAGDALENO J,RAMIREZ-CORTES J M,et al.Empirical mode decomposition analysis for broken-bar detection on squirrel cage induction motors[J].IEEE Transactions on Instrumentation and Measurement,2014,64(5):1118-1128. |
[42] | YU X,DONG F,DING E,et al.Rolling bearing fault diagnosis using modified LFDA and EMD with sensitive feature selection[J].Ieee Access,2017(6):3715-3730. |
[43] | LIU D,CHEN X.Image denoising based on improved bidimensional empirical mode decomposition thresholding technology[J].Multimedia Tools and Applications,2019(78):7381-7417. |
[44] | SBAA S,BESSOUS N,PUSCA R,et al.A comparative study dedicated to rotor failure detection in induction motors using MCSA,DWT,and EMD techniques[C]//2020 International Conference on Electrical Engineering (ICEE).IEEE,2020:1-11. |
[45] | DIAS C G,DA SILVA L C.An empirical mode decomposition approach for multiple broken rotor bars detection in three-phase induction motors at no-load condition[J].American Academic Scientific Research Journal for Engineering,Technology and Sciences,2021,81(1):167-176. |
[46] | MAHMUD M,WANG W.A smart sensor-based cEMD technique for rotor bar fault detection in induction motors[J].IEEE Transactions on Instrumentation and Measurement,2021(70):1-11. |
[47] | ZHENG J,CHENG J,YANG Y.Partly ensemble empirical mode decomposition: an improved noise-assisted method for eliminating mode mixing[J].Signal Processing,2014(96):362-374. |
[48] | LIU D,XIAO Z,HU X,et al.Feature extraction of rotor fault based on EEMD and curve code[J].Measurement,2019(135):712-724. |
[49] | LI J,LIU C,ZENG Z, et al.GPR signal denoising and target extraction with the CEEMD method[J].IEEE Geoscience and Remote Sensing Letters,2015,12(8):1615-1619. |
[50] | VALTIERRA-RODRIGUEZ M,AMEZQUITA-SANCHEZ J P,GARCIA-PEREZ A,et al.Complete ensemble empirical mode decomposition on FPGA for condition monitoring of broken bars in induction motors[J].Mathematics,2019,7(9):783. |
[51] | SHI J,SHEN H,DING Z. Quantitative analysis of broken rotor bars in cage motor based on energy characteristics of vibration signals[J/OL].Computational Intelligence and Neuroscience,2022, D.9312376. |
[52] | WANG Z,YANG J,LI H,et al.Fault identification of broken rotor bars in induction motors using an improved cyclic modulation spectral analysis[J].Energies,2019,12(17):3279. |
[53] | DE JESUS RANGEL-MAGDALENO J,PEREGRINA-BARRETO H,RAMIREZ-CORTES J M,et al.FPGA-based broken bars detection on induction motors under different load using motor current signature analysis and mathematical morphology[J].IEEE Transactions on Instrumentation and Measurement,2013,63(5):1032-1040. |
[54] | 夏立,李朋.一种基于CCWEEMDAN的断条故障特征提取方法[J].电子产品世界,2021,28(10):84-88. |
[55] | 孔晨再. 矿用异步电机故障诊断研究[D].西安:西安科技大学,2021. |
[56] | YANG Z,KONG C,WANG Y,et al.Fault diagnosis of mine asynchronous motor based on MEEMD energy entropy and ANN[J].Computers & Electrical Engineering,2021(92):107070. |
[57] | 王万丁,宋向金,陈前,等.采用整流技术的变频供电感应电机转子断条故障诊断方法[J].电工技术学报,2022,37(16):4074-4083. |
[58] | CUSIDÓCUSIDO J,ROMERAL L,ORTEGA J A,et al.Fault detection in induction machines using power spectral density in wavelet decomposition[J].IEEE Transactions on Industrial Electronics,2008,55(2):633-643. |
[59] | DE DEUS D B B,SOBRINHO C A N,BELO F A,et al.Density of maxima approach for broken bar fault diagnosis in low slip and variable load conditions of induction motors[J].IEEE Transactions on Instrumentation and Measurement,2020,69(12):9797-9804. |
[60] | RIERA-GUASP M,ANTONINO-DAVIU J A,PINEDA-SANCHEZ M,et al.A general approach for the transient detection of slip-dependent fault components based on the discrete wavelet transform[J].IEEE Transactions on Industrial Electronics,2008,55(12):4167-4180. |
[61] | MEDEIROS R L V,LIMA FILHO A C,RAMOS J G G S,et al.A novel approach for speed and failure detection in brushless DC motors based on chaos[J].IEEE Transactions on Industrial Electronics,2018,66(11):8751-8759. |
[62] | BURRIEL-VALENCIA J,PUCHE-PANADERO R,MARTINEZ-ROMAN J,et al.Short-frequencyfourier transform for fault diagnosis of induction machines working in transient regime[J].IEEE Transactions on Instrumentation and Measurement,2017,66(3):432-440. |
[63] | LI H,FENG G,ZHEN D,et al.A normalized frequency-domain energy operator for broken rotor bar fault diagnosis[J].IEEE Transactions on Instrumentation and Measurement,2020(70):1-10. |
[64] | LI H,OTUYEMI F,FENG G,et al.Application of teager energy for broken rotor bar fault detection based on the motor current signature analysis[C]//Proceedings of IncoME-V & CEPE Net-2020:Condition Monitoring,Plant Maintenance and Reliability.Cham:Springer International Publishing,2020:523-533. |
[65] | YAHIA K,MARQUES CARDOSO A J,GHOGGAL A,et al.Induction motors broken rotor bars diagnosis through the discrete wavelet transform of the instantaneous reactive power signal under time-varying load conditions[J].Electric Power Components and Systems,2014,42(7):682-692. |
[66] | ZHU H,JIA Z,SONG X,et al.An approach to detect broken rotor bars based on instantaneous frequency of the fault characteristic harmonic during the start-up transient[J].The International Journal of Advanced Manufacturing Technology,2023,124(11/12):4107-4119. |
[67] | MORINIGO-SOTELO D,ROMERO-TRONCOSO R J,PANAGIOTOU P A,et al.Reliable detection of rotor bars breakage in induction motors via MUSIC and ZSC[J].IEEE Transactions on Industry Applications,2017,54(2):1224-1234. |
[68] | PABLO M,OTERO M,SCHALLSCHMIDT T,et al.Active broken rotor bar diagnosis in induction motor drives[J].IEEE Transactions on Industrial Electronics,2020,68(8):7556-7566. |
[69] | SAPENA-BANO A,BURRIEL-VALENCIA J,PINEDA-SANCHEZ M,et al.The harmonic order tracking analysis method for the fault diagnosis in induction motors under time-varying conditions[J].IEEE Transactions on Energy Conversion,2016,32(1):244-256. |
[70] | PINEDA-SANCHEZ M,RIERA-GUASP M,PEREZ-CRUZ J,et al.Transient motor current signature analysis via modulus of the continuous complex wavelet: a pattern approach[J].Energy conversion and management,2013(73):26-36. |
[71] | JERKAN D G,RELJIĆ D D,MARETIĆ D P.Broken rotor bar fault detection of IM based on the counter-current braking method[J].IEEE Transactions on Energy Conversion,2017,32(4):1356-1366. |
[72] | JERKAN D G,RELJIĆ D,TODOROVIĆ I,et al.Detection of broken rotor bars in a cage induction machine using DC injection braking[J].IEEE Access,2022(10):49585-49598. |
[73] | DAHI K,EL HANI S,GUEDIRA S,et al.High-resolution spectral analysis method to identify rotor faults in WRIM using Neutral Voltage[C]//2015 International Conference on Electrical and Information Technologies (ICEIT).IEEE,2015:82-87. |
[74] | DAHI K,EL HANI S,GUEDIRA S,et al.A new indicator for rotor asymmetries in induction machines based on line neutral voltage[J].Research Journal of Applied Sciences,Engineering and Technology,2016,12(11):1136-1145. |
[75] | OUACHTOUK I,EL HANI S,GUEDIRA S,et al.Advanced model of squirrel cage induction machine for broken rotor bars fault using multi indicators[J].Advances in Electrical and Electronic Engineering,2016,14(5):512-521. |
[76] | HASSAN O E,AMER M,ABDELSALAM A K,et al.Induction motor broken rotor bar fault detection techniques based on fault signature analysis-a review[J].IET Electric Power Applications,2018,12(7):895-907. |
[77] | ZHU Q,WANG X,WANG H,et al.Real-time defect detection of die cast rotor in induction motor based on circular flux sensing coils[J].IEEE Transactions on Industrial Informatics,2021,18(12):9271-9282. |
[78] | TIAN P,PLATERO C A,GYFTAKIS K N,et al.Stray flux sensor core impact on the condition monitoring of electrical machines[J].Sensors,2020,20(3):749. |
[79] | SADEGHI I,EHYA H,FAIZ J,et al.Online fault diagnosis of large electrical machines using vibration signal-a review[C]//2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)& 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).IEEE,2017:470-475. |
[80] | ZHAO H,GUO X,DAI X,et al.Improved rotor bar shape in high-voltage large-power induction motors to eliminate hotspot and avoid broken bars[J].IEEE Transactions on Industry Applications,2021,57(5):4606-4616. |
[81] | 焦旭东.航空发动机振动机理和分析转子故障振动信号特征[J].粘接,2019,40(10):123-125. |
[82] | XIE Y,CHEN P,LI F,et al.Electromagnetic forces signature and vibration characteristic for diagnosis broken bars in squirrel cage induction motors[J].Mechanical Systems and Signal Processing,2019(123):554-572. |
[83] | MORALES-PEREZ C,RANGEL-MAGDALENO J,PEREGRINA-BARRETO H,et al.Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm[J].IEEE Transactions on Instrumentation and Measurement,2018,67(9):2058-2068. |
[84] | WANG Z,LI H,ZHEN D,et al.Vibration signature analysis for broken rotor bar diagnosis in induction motors based on cyclic modulation spectrum[C]//Proceedings of IncoME-V & CEPE Net-2020:Condition Monitoring,Plant Maintenance and Reliability.Cham:Springer International Publishing,2021:616-626. |
[85] | WANG Z,YANG J,LI H,et al.Improved cyclostationary analysis method based on TKEO and its application on the faults diagnosis of induction motors[J].ISA transactions,2022(128):513-530. |
[86] | 梁超,路鹏,郜宁,等.基于LPP的转子振动故障特征提取方法[J].振动工程学报,2018,31(3):539-544. |
[87] | 申海锋,石颉.电机转子振动信号故障特征提取方法[J].噪声与振动控制,2022,42(4):138-143,151. |
[88] | DELGADO-ARREDONDO P A,MORINIGO-SOTELO D,OSORNIO-RIOS R A,et al.Methodology for fault detection in induction motors via sound and vibration signals[J].Mechanical Systems and Signal Processing,2017(83):568-589. |
[89] | CLIMENTE-ALARCON V,ARKKIO A,ANTONINO-DAVIU J.2D magnetomechanical transient study of a motor suffering a bar breakage[J].IEEE Transactions on Industry Applications,2018,54(3):2097-2104. |
[90] | 石江波,杨兆建,郭伟杰,等.电流与振动信号融合的转子系统故障诊断研究[J].机械设计与制造,2018(8):19-21,25. |
[91] | GONG X,JING Y,DU W,et al.Fault diagnosis of motor broken bar using current and vibration fusion signal[C]//Advances in Asset Management and Condition Monitoring:COMADEM 2019.Springer International Publishing,2020:49-59. |
[92] | AMEZQUITA-SANCHEZ J P,VALTIERRA-RODRIGUEZ M,PEREZ-RAMIREZ C A,et al.Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes[J].Measurement Science and Technology,2017,28(7):075001. |
[93] | DEFDAF M,BERRABAH F,CHEBABHI A,et al.A new transform discrete wavelet technique based on artificial neural network for induction motor broken rotor bar faults diagnosis[J].International Transactions on Electrical Energy Systems,2021,31(4):e12807.1-e12807.13. |
[94] | GOKTAS T.Evaluation and classification of double bar breakages through three-axes vibration sensor in induction motors[J].IEEE Sensors Journal,2022,22(13):13602-13611. |
[95] | NIKNAM S A,SONGMENE V,AU Y H J.Proposing a new acoustic emission parameter for bearing condition monitoring in rotating machines[J].Transactions of the Canadian Society for Mechanical Engineering,2013,37(4):1105-1114. |
[96] | LI W,MECHEFSKE C K.Detection of induction motor faults:a comparison of stator current,vibration and acoustic methods[J].Journal of vibration and Control,2006,12(2):165-188. |
[97] | VERAS F C,LIMA T L V,SOUZA J S,et al.Eccentricity failure detection of brushless DC motors from sound signals based on density of maxima[J].IEEE Access,2019(7):150318-150326. |
[98] | GLOWACZ A.Fault diagnosis of single-phase induction motor based on acoustic signals[J].Mechanical Systems and Signal Processing,2019(117):65-80. |
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