Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

Energy Reports ◽

10.1016/j.egyr.2020.04.029 ◽

2020 ◽

Vol 6 ◽

pp. 1083-1096 ◽

Author(s):

Adel Alblawi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Gas Turbine ◽

Thermodynamic Model ◽

Artificial Neural ◽

Industrial Gas Turbine

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Artificial Neural Networks in Fault Diagnosis: A Gas Turbine Scenario

Advanced Information and Knowledge Processing - Computational Intelligence in Fault Diagnosis ◽

10.1007/978-1-84628-631-5_6 ◽

2006 ◽

pp. 179-207 ◽

Author(s):

Stephen Ogaji ◽

Riti Singh

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Gas Turbine ◽

Artificial Neural

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GAS TURBINE COMBUSTION CHAMBER MODELING USING ARTIFICIAL NEURAL NETWORKS

International Symposium on Advances in Computational Heat Transfer ◽

10.1615/ichmt.2008.cht.670 ◽

2008 ◽

Author(s):

Nasser Seraj Mehdizadeh ◽

Payam Sinaei

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Combustion Chamber ◽

Gas Turbine ◽

Artificial Neural ◽

Gas Turbine Combustion

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Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2012.06.042 ◽

2012 ◽

Vol 43 (1) ◽

pp. 1196-1203 ◽

Author(s):

Deepika Bhalla ◽

Raj Kumar Bansal ◽

Hari Om Gupta

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Function Analysis ◽

Rule Extraction ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Diagnosis

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Application of Artificial Neural Networks in Process Fault Diagnosis

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)51177-5 ◽

1991 ◽

Vol 24 (6) ◽

pp. 423-428

Author(s):

T. Sorsa ◽

H.N. Koivo

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Artificial Neural ◽

Process Fault Diagnosis

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Artificial Neural Networks in Condition Monitoring and Fault Diagnosis of Nuclear Power Plants: A Concise Review

10.1115/1.0000405v ◽

2021 ◽

Author(s):

Botao Jiang ◽

Xinbo Huang ◽

Jian Zhou

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Condition Monitoring ◽

Nuclear Power ◽

Power Plants ◽

Nuclear Power Plants ◽

Concise Review ◽

Artificial Neural

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Insulating Fault Diagnosis of XLPE Power Cables Using Multi-parameter Based on Artificial Neural Networks

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

10.1007/11427469_97 ◽

2005 ◽

pp. 609-615 ◽

Author(s):

Xiaolin Chen ◽

Yonghong Cheng ◽

Zhelei Zhu ◽

Bo Yue ◽

Xiaojun Xie

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Power Cables ◽

Artificial Neural

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Application of artificial neural networks, fuzzy logic and wavelet transform in fault diagnosis via vibration signal analysis: A review

Australian Journal of Mechanical Engineering ◽

10.1080/14484846.2009.11464588 ◽

2009 ◽

Vol 7 (2) ◽

pp. 157-171 ◽

Author(s):

P Jayaswal ◽

A K Wadhwani

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Artificial Neural Networks ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Signal Analysis ◽

Vibration Signal ◽

Artificial Neural ◽

Vibration Signal Analysis

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Fault Diagnosis of Rolling Element Bearing Using Artificial Neural Networks

2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) ◽

10.1109/icnte51185.2021.9487751 ◽

2021 ◽

Author(s):

Pratik Phalle ◽

Sangram Patil

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Rolling Element Bearing ◽

Rolling Element ◽

Element Bearing ◽

Artificial Neural

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Fault Diagnosis of Journal Bearings Based on Artificial Neural Networks and Measurements of Bearing Performance Characteristics

Proceedings of the Ninth International Conference on Computational Structures Technology ◽

10.4203/ccp.88.118 ◽

2009 ◽

Author(s):

K.M. Saridakis ◽

P.G. Nikolakopoulos ◽

C.A. Papadopoulos ◽

A.J. Dentsoras

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Journal Bearings ◽

Performance Characteristics ◽

Artificial Neural

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Enhanced feature selection from wavelet packet coefficients in fault diagnosis of induction motors with artificial neural networks

2010 IEEE Instrumentation & Measurement Technology Conference Proceedings ◽

10.1109/imtc.2010.5488087 ◽

2010 ◽

Author(s):

Levent Eren ◽

Yalcin Cekic ◽

Michael J. Devaney

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Induction Motors ◽

Wavelet Packet ◽

Artificial Neural

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