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 ◽

Cited By ~ 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 ◽

Non Parametric

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Accurate Fault Diagnosis and Classification Scheme Based on Non-Parametric, Statistical-Frequency Features and Neural Networks

2018 XIII International Conference on Electrical Machines (ICEM) ◽

10.1109/icelmach.2018.8507213 ◽

2018 ◽

Cited By ~ 3

Author(s):

R. R. Kumar ◽

G. Cirrincione ◽

M. Cirrincione ◽

M. Andriollo ◽

A. Tortella

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Classification Scheme ◽

Diagnosis And Classification ◽

Statistical Frequency ◽

Frequency Features ◽

Non Parametric

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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 ◽

Cited By ~ 108

Author(s):

S. Wu ◽

T.W.S. Chow

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Machine ◽

Rbf Neural Networks ◽

Machine Fault

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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 ◽

Cited By ~ 10

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 ◽

Machine Fault

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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 ◽

Cited By ~ 4

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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Fault detection and classification approaches in transmission lines using artificial neural networks

MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference ◽

10.1109/melcon.2014.6820588 ◽

2014 ◽

Cited By ~ 14

Author(s):

Moez Ben Hessine ◽

Houda Jouini ◽

Souad Chebbi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Transmission Lines ◽

Fault Detection And Classification ◽

Artificial Neural

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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 ◽

Cited By ~ 27

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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Fault Detection and Classification in Power Transmission Lines using Back Propagation Neural Networks

2020 International Conference on Smart Electronics and Communication (ICOSEC) ◽

10.1109/icosec49089.2020.9215253 ◽

2020 ◽

Author(s):

O. Navya Teja ◽

M. Siva Ramakrishna ◽

G.B. Bhavana ◽

K. Sireesha

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Transmission Lines ◽

Power Transmission ◽

Back Propagation ◽

Power Transmission Lines ◽

Back Propagation Neural Networks ◽

Fault Detection And Classification

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Fault detection and classification using artificial neural networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.380 ◽

2018 ◽

Vol 51 (18) ◽

pp. 470-475 ◽

Cited By ~ 26

Author(s):

Seongmin Heo ◽

Jay H. Lee

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Fault Detection And Classification ◽

Artificial Neural

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Deep Stack Neural Networks Based Learning Model for Fault Detection and Classification in Sensor Data

Deep Learning and Edge Computing Solutions for High Performance Computing - EAI/Springer Innovations in Communication and Computing ◽

10.1007/978-3-030-60265-9_6 ◽

2021 ◽

pp. 101-110

Author(s):

M. Praneesh ◽

R. Annamalai Saravanan

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Learning Model ◽

Sensor Data ◽

Fault Detection And Classification

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