Induction Machine Fault Detection and Classification Using Non-Parametric, Statistical-Frequency Features and Shallow Neural Networks

[1]  M. Andriollo,et al.  Induction Machine Fault Diagnosis Using Stator Current Subspace Spectral Estimation , 2018, 2018 21st International Conference on Electrical Machines and Systems (ICEMS).

[2]  B. Singh,et al.  A review of stator fault monitoring techniques of induction motors , 2005, IEEE Transactions on Energy Conversion.

[3]  A. Nishihara,et al.  Fast and Accurate Generalized Harmonic Analysis Using Newton's Method , 2009 .

[4]  Xin Geng,et al.  Supervised nonlinear dimensionality reduction for visualization and classification , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Andrew Kirmse,et al.  Calculating the prominence and isolation of every mountain in the world , 2017 .

[6]  Shahin Hedayati Kia,et al.  A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection , 2007, IEEE Transactions on Industrial Electronics.

[7]  Gérard-André Capolino,et al.  Advances in Diagnostic Techniques for Induction Machines , 2008, IEEE Transactions on Industrial Electronics.

[8]  Minping Jia,et al.  Supervised Laplacian Eigenmaps for Machinery Fault Classification , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

[9]  Jordi Solé i Casals,et al.  ICA as a Preprocessing Technique for Classification , 2004, ICA.

[11]  Wei Wang,et al.  Comparison of a modified periodogram and standard periodogram for current estimation by an HF surface radar , 2014, OCEANS 2014 - TAIPEI.

[12]  Radford M. Neal.  Pattern Recognition and Machine Learning , 2007, Technometrics.

[13]  Antonio J. Marques Cardoso,et al.  Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's Vector approach , 1997 .

[14]  Matti Pietikäinen,et al.  Supervised Locally Linear Embedding , 2003, ICANN.

[15]  Jing Wu,et al.  Visual Diagnosis of Tree Boosting Methods , 2018, IEEE Transactions on Visualization and Computer Graphics.

[16]  Humberto Henao,et al.  Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques , 2014, IEEE Industrial Electronics Magazine.

[17]  W. Marsden.  I and J , 2012 .

[18]  Samarjit Sengupta,et al.  Induction Motor Fault Diagnosis , 2016 .

[19]  Zhipeng Wang,et al.  A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data , 2018, Sensors.

[20]  D.S.B. Fonseca,et al.  Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's Vector approach , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.

[21]  Josef A. Nossek,et al.  DoA Estimation Performance and Computational Complexity of Subspace- and Compressed Sensing-based Methods , 2015, WSA.

[22]  Bing Li,et al.  A weighted multi-scale morphological gradient filter for rolling element bearing fault detection. , 2011, ISA transactions.

[23]  Michel Verleysen,et al.  Nonlinear Dimensionality Reduction , 2021, Computer Vision.

[24]  A. J. Marques Cardoso,et al.  Rotor Cage Fault Diagnosis in Three-Phase Induction Motors by Extended Park's Vector Approach , 2000 .

[25]  M. Andriollo,et al.  Accurate Fault Diagnosis and Classification Scheme Based on Non-Parametric, Statistical-Frequency Features and Neural Networks , 2018, 2018 XIII International Conference on Electrical Machines (ICEM).

[26]  Anthony Widjaja,et al.  Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.

[27]  Kjell G. Robbersmyr,et al.  A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine , 2017, 2017 20th International Conference on Electrical Machines and Systems (ICEMS).

[28]  Mohamed El Hachemi Benbouzid.  A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[29]  Dirk Van,et al.  Ensemble Methods: Foundations and Algorithms , 2012 .

[30]  M. E. H. Benbouzid,et al.  What Stator Current Processing Based Technique to Use for Induction Motor Rotor Faults Diagnosis , 2002, IEEE Power Engineering Review.

[31]  Jean-Calude Trigeassou,et al.  Electrical Machines Diagnosis , 2011 .

[32]  Xuemei Liu,et al.  Semi-supervised learning and condition fusion for fault diagnosis , 2013 .

[33]  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.