پیوندهای مفید
آمار
| تعداد نشریات | 7 |
| تعداد شماره‌ها | 399 |
| تعداد مقالات | 5,389 |
| تعداد مشاهده مقاله | 5,288,172 |
| تعداد دریافت فایل اصل مقاله | 4,882,907 |
A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 1، دوره 49، شماره 2، اسفند 2017، صفحه 109-122 اصل مقاله (2.08 M) | ||
| نوع مقاله: Review Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2017.13219.5142 | ||
| نویسندگان | ||
| J. Faiz* 1؛ A. M. Takbash2؛ E. Mazaheri-Tehrani1 | ||
| 1School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran | ||
| 2Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada | ||
| چکیده | ||
| Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fetection in IMs are analyzed in details. Then, their competency and their drawbacks for extracting indices in transient and steady state modes are criticized from different aspects. The considerable experimental results are used to certificate demonstrated discussion. Different kinds of faults, including eccentricity, broken bar and bearing faults as major internal faults, in IMs are investigated. The use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. In the first part of the present paper, we focus on Fourier-based techniques, including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault detection in IMs are analyzed in detail. Then, their competency and their drawbacks to extract indices in transient and steady state modes are criticized from different aspects. Different kinds of faults, namely, eccentricity, broken bar, and bearing faults as the major internal faults in IMs, are investigated. | ||
| کلیدواژه‌ها | ||
| Fault diagnosis؛ induction motors؛ signal processing؛ Fourier transform؛ eccentricity fault؛ broken bars fault؛ bearing fault | ||
| مراجع | ||
|
[1] J. Faiz, B.M. Ebrahimi, M.B.B. Sharifian, Different Faults and Their Diagnosis Techniques in Three-Phase Squirrel- Cage Induction Motors—A Review, Electromagnetics, 26 (2006) 543-569. [2] S. Nandi, H.A. Toliyat, X. Li, Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review, IEEE Transactions on Energy Conversion, 20(4) (2005) 719-729. [3] X. Ying, Characteristic Performance Analysis of Squirrel Cage Induction Motor With Broken Bars, IEEE Transactions on Magnetics, 45 (2009) 759-766. [4] J. Faiz, B.-M. Ebrahimi, A New Pattern for Detecting Broken Rotor Bars in Induction Motors During Start-Up, IEEE Transactions on Magnetics, 44 (2008) 4673-4683. [5] J. Faiz, B.M. Ebrahimi, Determination of Number of Broken Rotor Bars and Static Eccentricity Degree in Induction Motor under Mixed Fault, Electromagnetics, 28 (2008) 433-449. [6] J. Faiz, B.M. Ebrahimi, B. Akin, H.A. Toliyat, Comprehensive Eccentricity Fault Diagnosis in Induction Motors Using Finite Element Method, IEEE Transactions on Magnetics, 45 (2009) 1764-1767. [7] M. Drif, A.J.M. Cardoso, Airgap-Eccentricity Fault Diagnosis, in Three-Phase Induction Motors, by the Complex Apparent Power Signature Analysis, IEEE Transactions on Industrial Electronics, 55 (2008) 1404- 1410. [8] X. Huang, T.G. Habetler, R.G. Harley, E.J. Wiedenbrug, Using a Surge Tester to Detect Rotor Eccentricity Faults in Induction Motors, IEEE Transactions on Industry Applications, 43 (2007) 1183-1190. [9] D.G. Dorrell, W.T. Thomson, S. Roach, Analysis of airgap flux, current, and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors, IEEE Transactions on Industry Applications, 33 (1997) 24-34. [10] J. Faiz, M. Ojaghi, Instantaneous-Power Harmonics as Indexes for Mixed Eccentricity Fault in Mains-Fed and Open/Closed-Loop Drive-Connected Squirrel-Cage Induction Motors, IEEE Transactions on Industrial Electronics, 56 (2009) 4718-4726. [11] S. Nandi, R.M. Bharadwaj, H.A. Toliyat, Performance analysis of a three-phase induction motor under mixed eccentricity condition, IEEE Transactions on Energy Conversion, 17 (2002) 392-399.
[12] J. Faiz, B.M. Ebrahimi, B. Akin, H.A. Toliyat, Finite- Element Transient Analysis of Induction Motors Under Mixed Eccentricity Fault, IEEE Transactions on Magnetics, 44 (2008) 66-74.
[13] M. Blodt, P. Granjon, B. Raison, G. Rostaing, Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring, IEEE Transactions on Industrial Electronics, 55 (2008) 1813-1822.
[14] L. Frosini, E. Bassi, Stator Current and Motor Efficiency as Indicators for Different Types of Bearing Faults in Induction Motors, IEEE Transactions on Industrial Electronics, 57 (2010) 244-251.
[15] I.Y. Önel, M.E.H. Benbouzid, Induction Motor Bearing Failure Detection and Diagnosis: Park and Concordia Transform Approaches Comparative Study, IEEE/ASME Transactions on Mechatronics, 13 (2008) 257-262.
[16] M.J. Devaney, L. Eren, Detecting motor bearing faults, IEEE Instrumentation and Measurement Magazine, 7 (2004) 30-50.
[17] L. Eren, M.J. Devaney, Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current, IEEE Transactions on Instrumentation and Measurement, 53 (2004) 431-436.
[18] B. Mirafzal, N.A.O. Demerdash, On innovative methods of induction motor interturn and broken-bar fault diagnostics, IEEE Transactions on Industry Applications, 42 (2006) 405-414.
[19] J. Faiz, I. Tabatabaei, Extension of winding function theory for nonuniform air gap in electric machinery, IEEE Transactions on Magnetics, 38 (2002) 3654-3657.
[20] Z. Liu, X. Yin, Z. Zhang, D. Chen, W. Chen, Online Rotor Mixed Fault Diagnosis Way Based on Spectrum Analysis of Instantaneous Power in Squirrel Cage Induction Motors, IEEE Transactions on Energy Conversion, 19 (2004) 485-490.
[21] M.S. Ballal, Z.J. Khan, H.M. Suryawanshi, R.L. Sonolikar, Adaptive Neural Fuzzy Inference System for the Detection of Inter-Turn Insulation and Bearing Wear Faults in Induction Motor, IEEE Transactions on Industrial Electronics, 54 (2007) 250-258.
[22] S. Shin, J. Kim, S.B. Lee, C. Lim, E.J. Wiedenbrug, Evaluation of the Influence of Rotor Magnetic Anisotropy on Condition Monitoring of Two-Pole Induction Motors, IEEE Transactions on Industry Applications, 51 (2015) 2896-2904.
[23] A. Sadeghian, Z. Ye, B. Wu, Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks, IEEE Transactions on Instrumentation and Measurement, 58 (2009) 2253-2263.
[24] J.F. Bangura, R.J. Povinelli, N.A.O. Demerdash, R.H. Brown, Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled fe~state-space techniques, IEEE Transactions on Industry Applications, 39 (2003) 1005-1013.
[25] S.H. Kia, H. Henao, G.-A. Capolino, Diagnosis of Broken- Bar Fault in Induction Machines Using Discrete Wavelet Transform Without Slip Estimation, IEEE Transactions on Industry Applications, 45 (2009) 1395-1404.
[26] M.E.H. Benbouzid, G.B. Kliman, What stator current processing-based technique to use for induction motor rotor faults diagnosis?, IEEE Transactions on Energy Conversion, 18 (2003) 238-244.
[27] P.J. Rodriguez, A. Belahcen, A. Arkkio, Signatures of electrical faults in the force distribution and vibration pattern of induction motors, IEE Proceedings - Electric Power Applications, 153 (2006) 523.
[28] C.-C. Yeh, G.Y. Sizov, A. Sayed-Ahmed, N.A.O. Demerdash, R.J. Povinelli, E.E. Yaz, D.M. Ionel, A Reconfigurable Motor for Experimental Emulation of Stator Winding Interturn and Broken Bar Faults in Polyphase Induction Machines, IEEE Transactions on Energy Conversion, 23 (2008) 1005-1014.
[29] B. Mirafzal, N.A.O. Demerdash, Effects of Load Magnitude on Diagnosing Broken Bar Faults in Induction Motors Using the Pendulous Oscillation of the Rotor Magnetic Field Orientation, IEEE Transactions on Industry Applications, 41 (2005) 771-783.
[30] G. Didier, E. Ternisien, O. Caspary, H. Razik, Fault detection of broken rotor bars in induction motor using a global fault index, IEEE Transactions on Industry Applications, 42 (2006) 79-88.
[31] J. Milimonfared, H.M. Kelk, S. Nandi, A.D. Minassians, H.A. Toliyat, A novel approach for broken-rotor-bar detection in cage induction motors, IEEE Transactions on Industry Applications, 35 (1999) 1000-1006.
[32] A.M. da Silva, R.J. Povinelli, N.A.O. Demerdash, Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes, IEEE Transactions on Industrial Electronics, 55 (2008) 1310-1318.
[33] C.-E. Kim, Y.-B. Jung, S.-B. Yoon, D.-H. Im, The fault diagnosis of rotor bars in squirrel cage induction motors by time-stepping finite element method, IEEE Transactions on Magnetics, 33 (1997) 2131-2134.
[34] M. Haji, H.A. Toliyat, Pattern recognition-a technique for induction machines rotor broken bar detection, IEEE Transactions on Energy Conversion, 16 (2001) 312-317.
[35] R. Puche-Panadero, M. Pineda-Sanchez, M. Riera- Guasp, J. Roger-Folch, E. Hurtado-Perez, J. Perez- Cruz, Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip, IEEE Transactions on Energy Conversion, 24 (2009) 52-59.
[36] J.F. Bangura, N.A. Demerdash, Diagnosis and characterization of effects of broken bars and connectors in squirrel-cage induction motors by a time-stepping coupled finite element-state space modeling approach, IEEE Transactions on Energy Conversion, 14 (1999) 1167-1176.
[37] A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, G.B. Kliman, Quantitative evaluation of induction motor broken bars by means of electrical signature analysis, IEEE Transactions on Industry Applications, 37 (2001) 1248-1255.
[38] R.F. Walliser, C.F. Landy, Determination of interbar current effects in the detection of broken rotor bars in squirrel cage induction motors, IEEE Transactions on Energy Conversion, 9 (1994) 152-158.
[39] J.F. Watson, D.G. Dorrell, The use of finite element methods to improve techniques for the early detection of faults in 3-phase induction motors, IEEE Transactions on Energy Conversion, 14 (1999) 655-660.
[40] P.V. Goode, M.-y. Chow, Using a neural/fuzzy system to extract heuristic knowledge of incipient faults in induction motors. Part I-Methodology, IEEE Transactions on Industrial Electronics, 42 (1995) 131-138.
[41] K. Gyftakis, J. Antonino-Daviu, R. Garcia-Hernandez, M. McCulloch, D. Howey, A. Cardoso, Comparative Experimental Investigation of the Broken Bar Fault Detectability in Induction Motors, IEEE Transactions on Industry Applications, 10 (2015) 1-1.
[42] M. Riera-Guasp, J. Pons-Llinares, F. Vedreño-Santos, J.A. Antonino-Daviu, M. Fernández Cabanas, Evaluation of the amplitudes of high-order fault related components in double bar faults, SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, (2011) 307-315.
[43] M. Riera-Guasp, M. Pineda-Sanchez, J. Perez-Cruz, R. Puche-Panadero, J. Roger-Folch, J.A. Antonino-Daviu, Diagnosis of induction motor faults via gabor analysis of the current in transient regime, IEEE Transactions on Instrumentation and Measurement, 61 (2012) 1583-1596.
[44] J. Faiz, B.M. Ebrahimi, M.B.B. Sharifian, TIME STEPPING FINITE ELEMENT ANALYSIS OF BROKEN BARS FAULT IN A THREE-PHASE SQUIRREL-CAGE INDUCTION MOTOR, Progress In Electromagnetics Research, 68 (2007) 53-70.
[45] J. Faiz, B.M. Ebrahimi, Locating rotor broken bars in induction motors using finite element method, Energy Conversion and Management, 50 (2009) 125-131.
[46] B. Akin, U. Orguner, H.A. Toliyat, M. Rayner, Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis, IEEE Transactions on Industrial Electronics, 55 (2008) 610-619.
[47] M.h. Drif, A.J.M. Cardoso, The Use of Instantaneous Phase-Angle Signature Analysis for Airgap Eccentricity Diagnosis in Three-Phase Induction Motors, in: 2007 International Conference on Power Engineering, Energy and Electrical Drives, IEEE, 2007, pp. 100-105.
[48] J. Faiz, I.T. Ardekanei, H.A. Toliyat, An evaluation of inductances of a squirrel-cage induction motor under mixed eccentric conditions, IEEE Transactions on Energy Conversion, 18 (2003) 252-258.
[49] W.T. Thomson, A. Barbour, On-line current monitoring and application of a finite element method to predict the level of static airgap eccentricity in three-phase induction motors, IEEE Transactions on Energy Conversion, 13 (1998) 347-357.
[50] J.F. Bangura, N.A. Demerdash, Effects of broken bars/ end-ring connectors and airgap eccentricities on ohmic and core losses of induction motors in ASDs using a coupled finite element-state space method, IEEE Transactions on Energy Conversion, 15 (2000) 40-47.
[51] S. Nandi, S. Ahmed, H.A. Toliyat, Detection of rotor slot and other eccentricity related harmonics in a three phase induction motor with different rotor cages, IEEE Transactions on Energy Conversion, 16 (2001) 253-260.
[52] X. Li, Q. Wu, S. Nandi, Performance Analysis of a Three-Phase Induction Machine With Inclined Static Eccentricity, IEEE Transactions on Industry Applications, 43 (2007) 531-541.
[53] A.M. Knight, S.P. Bertani, Mechanical Fault Detection in a Medium-Sized Induction Motor Using Stator Current Monitoring, IEEE Transactions on Energy Conversion, 20 (2005) 753-760.
[54] S. Nandi, T.C. Ilamparithi, S.B. Lee, D. Hyun, Detection of eccentricity faults in induction machines based on nameplate parameters, IEEE Transactions on Industrial Electronics, 58 (2011) 1673-1683.
[55] M. Ojaghi, Eccentricity fault diagnosis in three-phase induction motors under mains voltage and DTC drive supply modes, Ph. D. thesis, School of Electrical and Computer Engineering, Univ. Tehran, Tehran, Iran, (2009).
[56] W. Zhou, B. Lu, T.G. Habetler, R.G. Harley, Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter, IEEE Transactions on Industry Applications, 45 (2009) 1309-1317.
[57] Y. Liu, L. Guo, Q. Wang, G. An, M. Guo, H. Lian, Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT, Mechanical Systems and Signal Processing, 24 (2010) 2961-2971.
[58] M. Riera-Guasp, J.A. Antonino-Daviu, M. Pineda- Sanchez, R. Puche-Panadero, J. Perez-Cruz, A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform, IEEE Transactions on Industrial Electronics, 55 (2008) 4167-4180.
[59] M. Timusk, M. Lipsett, C.K. Mechefske, Fault detection using transient machine signals, Mechanical Systems and Signal Processing, 22 (2008) 1724-1749.
[60] A. Prudhom, J. Antonino-Daviu, H. Razik, V. Climente- Alarcon, Time-frequency vibration analysis for the detection of motor damages caused by bearing currents, Mechanical Systems and Signal Processing, (2015) 1-16. | ||
|
آمار تعداد مشاهده مقاله: 2,098 تعداد دریافت فایل اصل مقاله: 1,939 |
||