Oil Whirl Fault Detection in Induction Motors Using Orbital Analysis and Neural Networks

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 - Lecture Notes in Networks and Systems ◽

10.1007/978-3-319-56994-9_20 ◽

2017 ◽

pp. 286-296

Author(s):

José Juan Carbajal Hernández ◽

Gabriel Longoria Cordero ◽

Luis Pastor Sánchez Fernández

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Motors ◽

Oil Whirl ◽

Orbital Analysis

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On-line incipient fault detection of induction motors using artificial neural networks

Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94 ◽

10.1109/icit.1994.467150 ◽

2002 ◽

Cited By ~ 1

Author(s):

Zhang Chaohai ◽

Mao Zongyuan ◽

Zhou Qijie

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Induction Motors ◽

On Line ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Detection

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Methodology for on-line incipient fault detection in single-phase squirrel-cage induction motors using artificial neural networks

IEEE Transactions on Energy Conversion ◽

10.1109/60.84332 ◽

1991 ◽

Vol 6 (3) ◽

pp. 536-545 ◽

Cited By ~ 75

Author(s):

M. Chow ◽

S.O. Yee

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Single Phase ◽

Induction Motors ◽

Squirrel Cage ◽

On Line ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Detection

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Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2009.2020863 ◽

2010 ◽

Vol 18 (2) ◽

pp. 430-437 ◽

Cited By ~ 45

Author(s):

Hyun Cheol Cho ◽

Jeremy Knowles ◽

M. Sami Fadali ◽

Kwon Soon Lee

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Recurrent Neural Networks ◽

Bayesian Modeling ◽

Induction Motors ◽

Fault Detection And Isolation

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Distilling Knowledge From an Ensemble of Convolutional Neural Networks for Seismic Fault Detection

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.3034960 ◽

2020 ◽

pp. 1-5

Author(s):

Zirui Wang ◽

Bo Li ◽

Naihao Liu ◽

Bangyu Wu ◽

Xu Zhu

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Convolutional Neural Networks ◽

Seismic Fault

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Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes

2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) ◽

10.1109/icbaie52039.2021.9389826 ◽

2021 ◽

Author(s):

Mingxuan Li ◽

Yuanxun Shao

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Chemical Processes ◽

Eastman Chemical

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Fault Detection of Induction Motors Using Just In Time Classifiers

2021 7th International Conference on Control, Instrumentation and Automation (ICCIA) ◽

10.1109/iccia52082.2021.9403546 ◽

2021 ◽

Author(s):

Saaeede Hazbavi ◽

Roozbeh Razavi-Far ◽

Mohammad Mehdi Arefi ◽

Alireza Khayatian ◽

Mehrdad Saif

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Just In Time

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Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks

Renewable Energy ◽

10.1016/j.renene.2020.12.116 ◽

2021 ◽

Author(s):

Seongpil Cho ◽

Minjoo Choi ◽

Zhen Gao ◽

Torgeir Moan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Wind Turbine ◽

Kalman Filters ◽

Fault Detection And Diagnosis ◽

Floating Wind Turbine ◽

Artificial Neural ◽

Pitch System ◽

Detection And Diagnosis

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Bearing Fault Detection in Induction Motors Employing Difference Visibility Graph

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) ◽

10.1109/pedes49360.2020.9379635 ◽

2020 ◽

Author(s):

Sayanjit Singha Roy ◽

Soumya Chatterjee ◽

Ritwick Barman ◽

Saptarshi Roy ◽

Sayantan Dey

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Visibility Graph ◽

Bearing Fault ◽

Bearing Fault Detection

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Fault detection and diagnosis for Air Handling Unit based on multiscale convolutional neural networks

Energy and Buildings ◽

10.1016/j.enbuild.2021.110795 ◽

2021 ◽

Vol 236 ◽

pp. 110795

Author(s):

Fanyong Cheng ◽

Wenjian Cai ◽

Xin Zhang ◽

Huanyue Liao ◽

Can Cui

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Convolutional Neural Networks ◽

Fault Detection And Diagnosis ◽

Air Handling Unit ◽

Detection And Diagnosis

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Triaxial Smart Sensor Based on the Advanced Analysis of Stray Flux and Currents for the Reliable Fault Detection in Induction Motors

2020 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce44975.2020.9235938 ◽

2020 ◽

Author(s):

Israel Zamudio-Ramirez ◽

Roque A Osornio-Rios ◽

Jose Antonino-Daviu

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Smart Sensor ◽

Advanced Analysis

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