Induction Machine Fault Detection Using SOM-Based RBF Neural Networks

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2003.821897 ◽

2004 ◽

Vol 51 (1) ◽

pp. 183-194 ◽

Author(s):

S. Wu ◽

T.W.S. Chow

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Machine ◽

Rbf Neural Networks ◽

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

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2020.3032532 ◽

2020 ◽

pp. 1-1 ◽

Author(s):

Rahul R. Kumar ◽

Giansalvo Cirrincione ◽

Maurizio Cirrincione ◽

Andrea Tortella ◽

Mauro Andriollo

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Machine ◽

Fault Detection And Classification ◽

Statistical Frequency ◽

Machine Fault ◽

Frequency Features ◽

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Intelligent machine fault detection using SOM based RBF neural networks

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) ◽

10.1109/ijcnn.2004.1380937 ◽

2004 ◽

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Rbf Neural Networks ◽

Intelligent Machine ◽

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The integration of machine fault detection into an indirect field oriented induction machine drive control scheme-the Vienna Monitoring Method

Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242) ◽

10.1109/ias.1998.732306 ◽

2002 ◽

Author(s):

R.S. Wieser ◽

M. Schagginger ◽

C. Kral ◽

F. Pirker

Keyword(s):

Fault Detection ◽

Induction Machine ◽

Monitoring Method ◽

Machine Drive ◽

Drive Control ◽

Control Scheme ◽

Machine Fault ◽

Induction Machine Drive

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Applications Of Wavelets In Induction Machine Fault Detection

10.18260/1-2--3152 ◽

2020 ◽

Author(s):

Erick Schmitt ◽

Peter Idowu ◽

Aldo Morales

Keyword(s):

Fault Detection ◽

Induction Machine ◽

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Fault Detection for Plasma Etching Processes Using RBF Neural Networks

Advances in Neural Networks – ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427469_86 ◽

2005 ◽

pp. 538-543 ◽

Author(s):

Yaw-Jen Chang

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Plasma Etching ◽

Rbf Neural Networks

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Vibration Signal Analysis for Electrical Fault Detection of Induction Machine Using Neural Networks

2007 International Symposium on Information Technology Convergence (ISITC 2007) ◽

10.1109/isitc.2007.54 ◽

2007 ◽

Author(s):

Hua Su ◽

Wan Xi ◽

Kil To Chong

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Signal Analysis ◽

Induction Machine ◽

Vibration Signal ◽

Vibration Signal Analysis

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Vibration signal analysis for electrical fault detection of induction machine using neural networks

Neural Computing and Applications ◽

10.1007/s00521-010-0512-3 ◽

2011 ◽

Vol 20 (2) ◽

pp. 183-194 ◽

Author(s):

Hua Su ◽

Kil To Chong ◽

R. Ravi Kumar

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Signal Analysis ◽

Induction Machine ◽

Vibration Signal ◽

Vibration Signal Analysis

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A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2007.899826 ◽

2007 ◽

Vol 54 (4) ◽

pp. 2305-2314 ◽

Author(s):

S.H. Kia ◽

H. Henao ◽

G.-A. Capolino

Keyword(s):

High Resolution ◽

Fault Detection ◽

Frequency Estimation ◽

Induction Machine ◽

Estimation Method ◽

Three Phase ◽

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VHDL implementation of a neural diagnosis system: application to induction machine fault detection

2004 IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.2004.1571810 ◽

2004 ◽

Author(s):

R. Grisel ◽

T. Dumartin ◽

G. Cirrincione

Keyword(s):

Fault Detection ◽

System Application ◽

Induction Machine ◽

Diagnosis System ◽

Machine Fault ◽

Vhdl Implementation

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Orbit Analysis from a Stray Flux Full Spectrum for Induction Machine Fault Detection

IEEE Sensors Journal ◽

10.1109/jsen.2021.3074815 ◽

2021 ◽

pp. 1-1

Author(s):

Paulo C. M. Lamim Filho ◽

Lane M. Rabelo ◽

Fabiano B. Batista ◽

Ana C. Araujo

Keyword(s):

Fault Detection ◽

Induction Machine ◽

Full Spectrum ◽

Orbit Analysis ◽

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