A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art.
暂无分享,去创建一个
Yiqi Liu | Ali M Bazzi | A. Bazzi | Yiqi Liu
[1] Marcin Wolkiewicz,et al. Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive , 2016, IEEE Transactions on Industrial Electronics.
[2] Mo-Yuen Chow,et al. A neural network approach to real-time condition monitoring of induction motors , 1991 .
[3] Bhim Singh,et al. Incipient Interturn Fault Diagnosis in Induction Machines Using an Analytic Wavelet-Based Optimized Bayesian Inference , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[4] T. Habetler,et al. An Impedance Identification Approach to Sensitive Detection and Location of Stator Turn-to-Turn Faults in a Closed-Loop Multiple-Motor Drive , 2011, IEEE Transactions on Industrial Electronics.
[5] Jose Antonino-Daviu,et al. Reliable detection of induction motor rotor faults under the rotor axial air duct influence , 2013, 2013 IEEE Energy Conversion Congress and Exposition.
[6] Antonio J. Marques Cardoso,et al. Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's Vector approach , 1997 .
[7] Austin H. Bonnett,et al. Rotor Failures in Squirrel Cage Induction Motors , 1986, IEEE Transactions on Industry Applications.
[8] Vincent Cocquempot,et al. A model of asynchronous machines for stator fault detection and isolation , 2003, IEEE Trans. Ind. Electron..
[9] Lie Xu,et al. Improvement of the Hilbert Method via ESPRIT for Detecting Rotor Fault in Induction Motors at Low Slip , 2013, IEEE Transactions on Energy Conversion.
[10] Erik Leandro Bonaldi,et al. Detection of Localized Bearing Faults in Induction Machines by Spectral Kurtosis and Envelope Analysis of Stator Current , 2015, IEEE Transactions on Industrial Electronics.
[11] T.G. Habetler,et al. Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter , 2009, IEEE Transactions on Industry Applications.
[12] Leila Parsa,et al. Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors , 2011, IEEE Transactions on Industrial Electronics.
[13] A.J. Marques Cardoso,et al. Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).
[14] Vilas N. Ghate,et al. Cascade Neural-Network-Based Fault Classifier for Three-Phase Induction Motor , 2011, IEEE Transactions on Industrial Electronics.
[15] Chee Peng Lim,et al. Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[16] Don-Ha Hwang,et al. High-Resolution Parameter Estimation Method to Identify Broken Rotor Bar Faults in Induction Motors , 2013, IEEE Transactions on Industrial Electronics.
[17] Teymoor Ghanbari,et al. Autocorrelation function-based technique for stator turn-fault detection of induction motor , 2016 .
[18] Hayde Peregrina-Barreto,et al. Empirical Mode Decomposition Analysis for Broken-Bar Detection on Squirrel Cage Induction Motors , 2015, IEEE Transactions on Instrumentation and Measurement.
[19] Thomas G. Habetler,et al. An amplitude modulation detector for fault diagnosis in rolling element bearings , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.
[20] Hayde Peregrina-Barreto,et al. FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology , 2014, IEEE Transactions on Instrumentation and Measurement.
[21] M. E. H. Benbouzid,et al. Current Frequency Spectral Subtraction and Its Contribution to Induction Machines’ Bearings Condition Monitoring , 2013, IEEE Transactions on Energy Conversion.
[22] Hee-Dong Kim,et al. Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines , 2015, 2015 61st IEEE Pulp and Paper Industry Conference (PPIC).
[23] Humberto Henao,et al. A frequency-domain detection of stator winding faults in induction machines using an external flux sensor , 2002 .
[24] J. C. Kappatou,et al. A Novel Approach for Broken Bar Fault Diagnosis in Induction Motors Through Torque Monitoring , 2013, IEEE Transactions on Energy Conversion.
[25] Jose A. Antonino-Daviu,et al. Application of the Teager–Kaiser Energy Operator to the Fault Diagnosis of Induction Motors , 2013, IEEE Transactions on Energy Conversion.
[26] Vicente Climente-Alarcon,et al. Induction Motor Diagnosis Based on a Transient Current Analytic Wavelet Transform via Frequency B-Splines , 2011, IEEE Transactions on Industrial Electronics.
[27] Vicente Climente-Alarcon,et al. Combination of Noninvasive Approaches for General Assessment of Induction Motors , 2015, IEEE Transactions on Industry Applications.
[28] Tae-Sik Kong,et al. Identification of False Rotor Fault Indications Produced by Online MCSA for Medium-Voltage Induction Machines , 2016, IEEE Transactions on Industry Applications.
[29] Martin Riera-Guasp,et al. Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines , 2015, IEEE Transactions on Energy Conversion.
[30] Mohammad Ebrahimi,et al. Model-based fault diagnosis of induction motor eccentricity using particle swarm optimization , 2009 .
[31] Bhim Singh,et al. Incipient Turn Fault Detection and Condition Monitoring of Induction Machine Using Analytical Wavelet Transform , 2014 .
[32] Antero Arkkio,et al. Diagnosis of Induction Motors Under Varying Speed Operation by Principal Slot Harmonic Tracking , 2015, IEEE Transactions on Industry Applications.
[33] Wilson Wang,et al. A Spectrum Synch Technique for Induction Motor Health Condition Monitoring , 2015, IEEE Transactions on Energy Conversion.
[34] Thomas G. Habetler,et al. Transient model for induction machines with stator winding turn faults , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).
[35] Giovanni Franceschini,et al. Induction machine current space vector features to effectively discern and quantify rotor faults and external torque ripple , 2012 .
[36] I. S. Bozchalooi,et al. A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals , 2008 .
[37] Chee Peng Lim,et al. Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[38] Giansalvo Cirrincione,et al. Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks , 2013, IEEE Transactions on Industrial Electronics.
[39] P. Purkait,et al. Monitoring of inter-turn insulation failure in induction motor using advanced signal and data processing tools , 2011, IEEE Transactions on Dielectrics and Electrical Insulation.
[40] Jul-Ki Seok,et al. High-Frequency Signal Injection-Based Rotor Bar Fault Detection of Inverter-Fed Induction Motors With Closed Rotor Slots , 2011, IEEE Transactions on Industry Applications.
[41] Shahid Ali,et al. Advanced motor monitoring and diagnostics , 2014, Conference Record of 2014 Annual Pulp and Paper Industry Technical Conference.
[42] Shaocheng Wang,et al. Multisensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors , 2014, IEEE/ASME Transactions on Mechatronics.
[43] Hamid Reza Karimi,et al. Vibration analysis for bearing fault detection and classification using an intelligent filter , 2014 .
[44] H. Douglas,et al. Broken rotor bar detection in induction machines with transient operating speeds , 2005, IEEE Transactions on Energy Conversion.
[45] Lorand Szabo,et al. Induction Machine Bearing Fault Detection by Means of Statistical Processing of the Stray Flux Measurement , 2015, IEEE Transactions on Industrial Electronics.
[46] Ahmed Braham,et al. Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis , 2015, IEEE Transactions on Industrial Informatics.
[47] R. Harley,et al. Bearing fault detection via autoregressive stator current modeling , 2004, IEEE Transactions on Industry Applications.
[48] Fernando Nuño García,et al. A New Portable, Self-Powered, and Wireless Instrument for the Early Detection of Broken Rotor Bars in Induction Motors , 2011, IEEE Transactions on Industrial Electronics.
[49] Lie Xu,et al. An ESPRIT-SAA-Based Detection Method for Broken Rotor Bar Fault in Induction Motors , 2012, IEEE Transactions on Energy Conversion.
[50] Min-Fu Hsieh,et al. Online Detection of Induction Motor's Stator Winding Short-Circuit Faults , 2014, IEEE Systems Journal.
[51] Zhe Zhang,et al. Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors , 2004 .
[52] Adel Belouchrani,et al. Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform , 2011, IEEE Transactions on Industrial Electronics.
[53] Mo-Yuen Chow,et al. Multiple Discriminant Analysis and Neural-Network-Based Monolith and Partition Fault-Detection Schemes for Broken Rotor Bar in Induction Motors , 2006, IEEE Transactions on Industrial Electronics.
[54] Fengshou Gu,et al. A Novel Transform Demodulation Algorithm for Motor Incipient Fault Detection , 2011, IEEE Transactions on Instrumentation and Measurement.
[55] Jongwan Kim,et al. Experimental Evaluation of Low-Voltage Offline Testing for Induction Motor Rotor Fault Diagnostics , 2015, IEEE Transactions on Industry Applications.
[56] Chrysostomos D. Stylios,et al. Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition , 2013 .
[57] T.G. Habetler,et al. Motor bearing damage detection using stator current monitoring , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.
[58] Bong-Hwan Kwon,et al. Online Diagnosis of Induction Motors Using MCSA , 2006, IEEE Transactions on Industrial Electronics.
[59] E.D. Mitronikas,et al. Asynchronous Machine Rotor Fault Diagnosis Technique Using Complex Wavelets , 2008, IEEE Transactions on Energy Conversion.
[60] Zeljko Kanovic,et al. Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator Current , 2015, IEEE Transactions on Energy Conversion.
[61] S. M. El-Hakim,et al. An inverse approach for inter-turn fault detection in asynchronous machines using magnetic pendulous oscillation technique , 2015, 2015 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD).
[62] Hong Huo,et al. A generic neurofuzzy model-based approach for detecting faults in induction motors , 2005, IEEE Transactions on Industrial Electronics.
[63] H. Henao,et al. Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation , 2007, 2007 IEEE Industry Applications Annual Meeting.
[64] Slim Tnani,et al. Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines , 2006, IEEE Transactions on Industrial Electronics.
[65] Remus Pusca,et al. Study of Rotor Faults in Induction Motors Using External Magnetic Field Analysis , 2012, IEEE Transactions on Industrial Electronics.
[66] K. Vasudevan,et al. Online Cage Rotor Fault Detection Using Air-Gap Torque Spectra , 2002, IEEE Power Engineering Review.
[67] Neerukonda Rama Devi,et al. Detection of stator incipient faults and identification of faulty phase in three-phase induction motor – simulation and experimental verification , 2015 .
[68] Mo-Yuen Chow,et al. Neural-network-based motor rolling bearing fault diagnosis , 2000, IEEE Trans. Ind. Electron..
[69] Hao Chen,et al. Monitoring of Rotor-Bar Defects in Inverter-Fed Induction Machines at Zero Load and Speed , 2011, IEEE Transactions on Industrial Electronics.
[70] Alberto Bellini,et al. Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison , 2008, IEEE Transactions on Industry Applications.
[71] Tommy W. S. Chow,et al. Induction machine fault diagnostic analysis with wavelet technique , 2004, IEEE Transactions on Industrial Electronics.
[72] Thomas M. Wolbank,et al. Induction Machine Insulation Health State Monitoring Based on Online Switching Transient Exploitation , 2015, IEEE Transactions on Industrial Electronics.
[73] C. Koley,et al. Performance of a load-immune classifier for robust identification of minor faults in induction motor stator winding , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.
[74] Gianluca Ippoliti,et al. Electric Motor Fault Detection and Diagnosis by Kernel Density Estimation and Kullback–Leibler Divergence Based on Stator Current Measurements , 2015, IEEE Transactions on Industrial Electronics.
[75] Rastko Zivanovic,et al. Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points , 2015, IEEE Transactions on Industrial Electronics.
[76] Jose A. Antonino-Daviu,et al. A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform , 2008, IEEE Transactions on Industrial Electronics.
[77] Gonzalo A. Orcajo,et al. Unambiguous Detection of Broken Bars in Asynchronous Motors by Means of a Flux Measurement-Based Procedure , 2011, IEEE Transactions on Instrumentation and Measurement.
[78] Bo-Suk Yang,et al. A new condition monitoring and fault diagnosis system of induction motors using artificial intelligence algorithms , 2005, IEEE International Conference on Electric Machines and Drives, 2005..
[79] S. Nandi,et al. Detection of Airgap Eccentricity for Induction Motors Using the Single-Phase Rotation Test , 2012, IEEE Transactions on Energy Conversion.
[80] J.L. Kohler,et al. Alternatives for assessing the electrical integrity of induction motors , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.
[81] Arturo Garcia-Perez,et al. FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference , 2011, IEEE Transactions on Industrial Electronics.
[82] Gérard-André Capolino,et al. Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art , 2015, IEEE Transactions on Industrial Electronics.
[83] Hubert Razik,et al. Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique , 2013, IEEE Transactions on Industrial Electronics.
[84] Athanasios N. Safacas,et al. Detection of Induction Motor Faults in Inverter Drives Using Inverter Input Current Analysis , 2011, IEEE Transactions on Industrial Electronics.
[85] Michael J. Devaney,et al. Bearing damage detection via wavelet packet decomposition of the stator current , 2004, IEEE Transactions on Instrumentation and Measurement.
[86] Christian Kral,et al. Offline Monitoring of Airgap Eccentricity for Inverter-Fed Induction Motors Based on the Differential Inductance , 2013, IEEE Transactions on Industry Applications.
[87] Thomas G. Habetler,et al. Online surge testing applied to an induction machine with emulated insulation breakdown , 2011, 2011 IEEE Energy Conversion Congress and Exposition.
[88] Arturo Garcia-Perez,et al. The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors , 2011, IEEE Transactions on Industrial Electronics.
[89] Jose A. Antonino-Daviu,et al. Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current , 2011, IEEE Transactions on Industrial Electronics.
[90] Thomas G. Habetler,et al. A survey of condition monitoring and protection methods for medium voltage induction motors , 2009, 2009 IEEE Energy Conversion Congress and Exposition.
[91] Mainak Sengupta,et al. Experimental study of induction motor misalignment and its online detection through data fusion , 2013 .
[92] Gérard-André Capolino,et al. Modern Diagnostics Techniques for Electrical Machines, Power Electronics, and Drives , 2015, IEEE Transactions on Industrial Electronics.
[93] I. R. Praveen Krishna,et al. Empirical mode decomposition of acoustic signals for diagnosis of faults in gears and rolling element bearings , 2012 .
[94] Jinkyu Yang,et al. Automated detection of rotor faults for inverter-fed induction machines under standstill conditions , 2009, 2009 IEEE Energy Conversion Congress and Exposition.
[95] V. Fernão Pires,et al. Unsupervised Neural-Network-Based Algorithm for an On-Line Diagnosis of Three-Phase Induction Motor Stator Fault , 2007, IEEE Transactions on Industrial Electronics.
[96] Guillermo R. Bossio,et al. Online Model-Based Stator-Fault Detection and Identification in Induction Motors , 2009, IEEE Transactions on Industrial Electronics.
[97] Subhasis Nandi,et al. Detection of Eccentricity Faults in Induction Machines Based on Nameplate Parameters , 2011, IEEE Transactions on Industrial Electronics.
[98] Kil To Chong,et al. Induction Machine Condition Monitoring Using Neural Network Modeling , 2007, IEEE Transactions on Industrial Electronics.