Model‐based unified technique for identifying severities of stator inter‐turn and rotor broken bar faults in SCIMs
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Jawad Faiz | Mansour Ojaghi | Antonio J. Marques Cardoso | Mehdi Sabouri | J. Faiz | A. M. Marques Cardoso | M. Ojaghi | M. Sabouri
[1] A.J.M. Cardoso,et al. On-line fault diagnostics in operating three-phase induction motors by the active and reactive power media , 2008, 2008 18th International Conference on Electrical Machines.
[2] Hubert Razik,et al. An improved model of induction motors for diagnosis purposes – Slot skewing effect and air–gap eccentricity faults , 2009 .
[3] Mohamed Benbouzid,et al. Induction motors' faults detection and localization using stator current advanced signal processing techniques , 1999 .
[4] Bhim Singh,et al. Investigation of Vibration Signatures for Multiple Fault Diagnosis in Variable Frequency Drives Using Complex Wavelets , 2014, IEEE Transactions on Power Electronics.
[5] 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.
[6] Bong-Hwan Kwon,et al. Online Diagnosis of Induction Motors Using MCSA , 2006, IEEE Transactions on Industrial Electronics.
[7] Mohamed Benbouzid,et al. Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system , 2003 .
[8] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[9] B. Mirafzal,et al. On innovative methods of induction motor interturn and broken-bar fault diagnostics , 2006, IEEE Transactions on Industry Applications.
[10] Makarand Sudhakar Ballal,et al. Adaptive Neural Fuzzy Inference System for the Detection of Inter-Turn Insulation and Bearing Wear Faults in Induction Motor , 2007, IEEE Transactions on Industrial Electronics.
[11] J. Faiz,et al. Extension to Multiple Coupled Circuit Modeling of Induction Machines to Include Variable Degrees of Saturation Effects , 2008, IEEE Transactions on Magnetics.
[12] Mohamed Amine Moussa,et al. A Detection Method for Induction Motor Bar Fault Using Sidelobes Leakage Phenomenon of the Sliding Discrete Fourier Transform , 2017, IEEE Transactions on Power Electronics.
[13] M. Karakose,et al. Artificial immune based support vector machine algorithm for fault diagnosis of induction motors , 2007, 2007 International Aegean Conference on Electrical Machines and Power Electronics.
[14] Jawad Faiz,et al. Exact Modeling and Simulation of Saturated Induction Motors with Broken Rotor Bars Fault using Winding Function Approach , 2014 .
[15] Mohamed El Hachemi Benbouzid. A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..
[16] M. Sahraoui,et al. Detection of inter-turn short-circuit and broken rotor bars in induction motors using the Partial Relative Indexes: Application on the MCSA , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.
[17] Xianghui Huang,et al. Detection of Rotor Eccentricity Faults in a Closed-Loop Drive-Connected Induction Motor Using an Artificial Neural Network , 2007, IEEE Transactions on Power Electronics.
[18] F. Filippetti,et al. Neural networks aided on-line diagnostics of induction motor rotor faults , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.
[19] T. G. Habetler,et al. Self-commissioning training algorithms for neural networks with applications to electric machine fault diagnostics , 2002 .
[20] Danwei Wang,et al. Fault severity estimation using nonlinear Kalman filter for induction motors under inter-turn fault , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.
[21] W. T. Thomson,et al. Motor Current Signature Analysis To Detect Faults In Induction Motor Drives - Fundamentals, Data Interpretation, And Industrial Case Histories. , 2003 .
[22] B. Mirafzal,et al. Induction machine broken-bar fault diagnosis using the rotor magnetic field space-vector orientation , 2004, IEEE Transactions on Industry Applications.
[23] Yuhui Shi,et al. Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[24] F. Filippetti,et al. AI techniques in induction machines diagnosis including the speed ripple effect , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.
[25] Richard J. Povinelli,et al. Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes , 2008, IEEE Transactions on Industrial Electronics.
[26] Jawad Faiz,et al. Diagnosis methods for stator winding faults in three‐phase squirrel‐cage induction motors , 2014 .
[27] 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.
[28] Mansour Ojaghi,et al. Model-based exact technique to identify type and degree of eccentricity faults in induction motors , 2016 .
[29] Gurmeet Singh,et al. Effectiveness of Current Envelope analysis to detect broken rotor bar and inter turn faults in an inverter fed induction motor drive , 2015, 2015 International Conference on Power and Advanced Control Engineering (ICPACE).
[30] António J. Marques Cardoso,et al. Stator Fault Diagnostics in Squirrel Cage Three-Phase Induction Motor Drives Using the Instantaneous Active and Reactive Power Signature Analyses , 2014, IEEE Transactions on Industrial Informatics.
[31] W. T. Thomson,et al. On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure , 2001, IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No.01EX485).
[32] B. Mirafzal,et al. Interturn Fault Diagnosis in Induction Motors Using the Pendulous Oscillation Phenomenon , 2006, IEEE Transactions on Energy Conversion.
[33] L. Sbita,et al. Multiple Faults Diagnosis in Induction Motor Using the MCSA Method , 2010 .
[34] Thomas G. Habetler,et al. An unsupervised, on-line system for induction motor fault detection using stator current monitoring , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.
[35] Vahid Rashtchi,et al. Using a genetic algorithm for detection and magnitude determination of turn faults in an induction motor , 2002 .
[36] J. Penman,et al. Dynamic simulation of dynamic eccentricity in induction machines-winding function approach , 2000 .
[37] R. M. Tallam,et al. A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).
[38] A. Chowdhury,et al. Detection and discrimination of simultaneous stator inter-turn and broken rotor bar faults in induction motor , 2015, 2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON).
[39] Jawad Faiz,et al. Performance Analysis of Squirrel-Cage Induction Motors Under Broken Rotor Bar and Stator Inter-Turn Fault Conditions Using Analytical Modeling , 2018, IEEE Transactions on Magnetics.
[40] J. Penman,et al. Detection and location of interturn short circuits in the stator windings of operating motors , 1994 .
[41] G. B. Kliman,et al. Noninvasive detection of broken rotor bars in operating induction motors , 1988 .
[42] Roque Alfredo Osornio-Rios,et al. Multifault Diagnosis Method Applied to an Electric Machine Based on High-Dimensional Feature Reduction , 2017, IEEE Transactions on Industry Applications.