Performance of a Classifier Based on Time-Domain Features for Incipient Fault Detection in Inverter Drives
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Chiranjib Koley | Prithwiraj Purkait | Indrayudh Bandyopadhyay | P. Purkait | C. Koley | I. Bandyopadhyay
[1] Sukhjeet Singh,et al. Detection of Bearing Faults in Mechanical Systems Using Stator Current Monitoring , 2017, IEEE Transactions on Industrial Informatics.
[2] S. Sathiya Keerthi,et al. Which Is the Best Multiclass SVM Method? An Empirical Study , 2005, Multiple Classifier Systems.
[3] C. Koley,et al. Using mean current vector to develop a rule base for identification of IGBT faults in induction motor drives , 2012, 2012 1st International Conference on Power and Energy in NERIST (ICPEN).
[4] S. A. Saleh,et al. Phaselet-Based Method for Detecting Electric Faults in $3\phi$ Induction Motor Drives—Part I: Analysis and Development , 2017, IEEE Transactions on Industry Applications.
[5] Imed Jlassi,et al. Multiple Open-Circuit Faults Diagnosis in Back-to-Back Converters of PMSG Drives for Wind Turbine Systems , 2015, IEEE Transactions on Power Electronics.
[6] Antero Arkkio,et al. The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient , 2017, IEEE Transactions on Industrial Informatics.
[7] June-Seok Lee,et al. An Open-Switch Fault Detection Method and Tolerance Controls Based on SVM in a Grid-Connected T-Type Rectifier With Unity Power Factor , 2014, IEEE Transactions on Industrial Electronics.
[8] Debangshu Dey,et al. On-Line Detection of Apnea/Hypopnea Events Using SpO$_{\bf 2}$ Signal: A Rule-Based Approach Employing Binary Classifier Models , 2014, IEEE Journal of Biomedical and Health Informatics.
[9] Jin Zhao,et al. High-Performance Fault Diagnosis in PWM Voltage-Source Inverters for Vector-Controlled Induction Motor Drives , 2014, IEEE Transactions on Power Electronics.
[10] Insoo Koo,et al. Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features , 2017, IEEE Access.
[11] Didier Theilliol,et al. A Failure-Detection Strategy for IGBT Based on Gate-Voltage Behavior Applied to a Motor Drive System , 2011, IEEE Transactions on Industrial Electronics.
[12] Vasile Palade,et al. Class Imbalance Learning Methods for Support Vector Machines , 2013 .
[13] Elhoussin Elbouchikhi,et al. Cascaded H-Bridge Multilevel Inverter System Fault Diagnosis Using a PCA and Multiclass Relevance Vector Machine Approach , 2015, IEEE Transactions on Power Electronics.
[14] Frede Blaabjerg,et al. Open-Circuit Fault Diagnosis and Fault-Tolerant Control for a Grid-Connected NPC Inverter , 2016, IEEE Transactions on Power Electronics.
[15] Andrew D. Ball,et al. An application to transient current signal based induction motor fault diagnosis of Fourier-Bessel expansion and simplified fuzzy ARTMAP , 2013, Expert Syst. Appl..
[16] Ahmed Braham,et al. Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis , 2015, IEEE Transactions on Industrial Informatics.
[17] Luca Zarri,et al. Online Detection of High-Resistance Connections With Negative-Sequence Regulators in Three-Phase Induction Motor Drives , 2015, IEEE Transactions on Industry Applications.
[18] Dan Sun,et al. Mean Current Vector Based Online Real-Time Fault Diagnosis for Voltage Source Inverter fed Induction Motor Drives , 2007, 2007 IEEE International Electric Machines & Drives Conference.
[19] Bipan Tudu,et al. A Machine Vision-Based Maturity Prediction System for Sorting of Harvested Mangoes , 2014, IEEE Transactions on Instrumentation and Measurement.
[20] Mohamed Benbouzid,et al. Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system , 2003 .
[21] Frede Blaabjerg,et al. Open-Switch Fault Detection Method of a Back-to-Back Converter Using NPC Topology for Wind Turbine Systems , 2015, IEEE Transactions on Industry Applications.
[22] 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.
[23] Weihua Li,et al. Feature Denoising and Nearest–Farthest Distance Preserving Projection for Machine Fault Diagnosis , 2016, IEEE Transactions on Industrial Informatics.
[24] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[25] Athanasios N. Safacas,et al. Detection of Induction Motor Faults in Inverter Drives Using Inverter Input Current Analysis , 2011, IEEE Transactions on Industrial Electronics.
[26] António J. Marques Cardoso,et al. A New Algorithm for Real-Time Multiple Open-Circuit Fault Diagnosis in Voltage-Fed PWM Motor Drives by the Reference Current Errors , 2013, IEEE Transactions on Industrial Electronics.
[27] Bin Lu,et al. A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters , 2008, 2008 IEEE Industry Applications Society Annual Meeting.
[28] Mohsen Bandar Abadi,et al. Fault diagnostic algorithm for three-level neutral point clamped AC motor drives, based on the average current Park's vector , 2014 .
[29] Ruqiang Yan,et al. Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis , 2017, IEEE Transactions on Industrial Informatics.
[30] Dawei Xiang,et al. An Industry-Based Survey of Reliability in Power Electronic Converters , 2011, IEEE Transactions on Industry Applications.
[31] António J. Marques Cardoso,et al. Open-Circuit Fault Diagnosis in PMSG Drives for Wind Turbine Applications , 2013, IEEE Transactions on Industrial Electronics.
[32] Chiranjib Koley,et al. A combined image processing and Nearest Neighbor Algorithm tool for classification of incipient faults in induction motor drives , 2016, Comput. Electr. Eng..
[33] Xuefeng Chen,et al. Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine , 2017, IEEE Transactions on Industrial Informatics.
[34] Liuchen Chang,et al. Real-Time Diagnosis for Open-Circuited and Unbalance Faults in Electronic Converters Connected to Residential Wind Systems , 2016, IEEE Transactions on Industrial Electronics.
[35] Cui Bowen,et al. A fault diagnosis method for three-phase rectifiers , 2013 .
[36] F. Blaabjerg,et al. Method for Detecting an Open-Switch Fault in a Grid-Connected NPC Inverter System , 2012, IEEE Transactions on Power Electronics.
[37] René de Jesús Romero-Troncoso,et al. Multirate Signal Processing to Improve FFT-Based Analysis for Detecting Faults in Induction Motors , 2017, IEEE Trans. Ind. Informatics.
[38] Bijaya K. Panigrahi,et al. Vibration Analysis Based Interturn Fault Diagnosis in Induction Machines , 2014, IEEE Transactions on Industrial Informatics.
[39] Li Sun,et al. Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems , 2015, IEEE Transactions on Power Electronics.
[40] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[41] 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.
[42] Mohammad Reza Zolghadri,et al. FPGA-Based Fast Detection With Reduced Sensor Count for a Fault-Tolerant Three-Phase Converter , 2013, IEEE Transactions on Industrial Informatics.
[43] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[44] António J. Marques Cardoso,et al. A Voltage-Based Approach Without Extra Hardware for Open-Circuit Fault Diagnosis in Closed-Loop PWM AC Regenerative Drives , 2014, IEEE Transactions on Industrial Electronics.
[45] D. Diallo,et al. Fault detection and diagnosis in an induction Machine drive: a pattern recognition approach based on concordia stator mean current vector , 2005, IEEE Transactions on Energy Conversion.
[46] Thomas G. Habetler,et al. A survey of condition monitoring and protection methods for medium voltage induction motors , 2009 .
[47] Keheng Zhu,et al. A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm , 2014 .