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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Incipient fault detection and diagnosis using artificial neural networks

10.1109/ijcnn.1990.137550 ◽

1990 ◽

Cited By ~ 11

Author(s):

J.C. Hoskins ◽

K.M. Kaliyur ◽

D.M. Himmelblau

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Fault Detection And Diagnosis ◽

Incipient Fault ◽

Artificial Neural ◽

Detection And Diagnosis ◽

Incipient Fault Detection

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Incipient Fault Detection in Rotating Machinery by Using Artificial Neural Networks

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)48092-x ◽

1994 ◽

Vol 27 (5) ◽

pp. 611-616

Author(s):

N.M. Roehl ◽

C.E. Pedreira ◽

M.S. Fialho

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Rotating Machinery ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Detection

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Experimental investigation of on-line methods for incipient fault detection [in induction motors]

Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129) ◽

10.1109/ias.2000.883202 ◽

2002 ◽

Cited By ~ 3

Author(s):

J. Sottile ◽

F.C. Trutt ◽

J.L. Kohler

Keyword(s):

Experimental Investigation ◽

Fault Detection ◽

Induction Motors ◽

On Line ◽

Incipient Fault ◽

Incipient Fault Detection

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On-Line Fault Detection by using Filters Bank and Artificial Neural Networks

2006 2nd International Conference on Information & Communication Technologies ◽

10.1109/ictta.2006.1684628 ◽

2006 ◽

Author(s):

O. Mustapha ◽

M. Khalil ◽

G. Hoblos ◽

H. Chafouk ◽

H. Ziadeh ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

On Line ◽

Artificial Neural

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034 An integrated approach to on-line fault detection and diagnosis — Including artificial neural networks with local basis-functions

Control Engineering Practice ◽

10.1016/0967-0661(93)91926-n ◽

1993 ◽

Vol 1 (3) ◽

pp. 551

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Integrated Approach ◽

Basis Functions ◽

Fault Detection And Diagnosis ◽

Local Basis ◽

On Line ◽

Artificial Neural ◽

Detection And Diagnosis

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An Integrated Approach to On-line Fault Detection and Diagnosis - Including Artificial Neural Networks with Local Basis-Functions

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)50242-6 ◽

1992 ◽

Vol 25 (4) ◽

pp. 207-212

Author(s):

B.A. Foss ◽

T.A. Johansen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Integrated Approach ◽

Basis Functions ◽

Fault Detection And Diagnosis ◽

Local Basis ◽

On Line ◽

Artificial Neural ◽

Detection And Diagnosis

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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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High Impedance Fault Detection in Distribution Systems: An Approach Based on Fourier Transform and Artificial Neural Networks

2020 Workshop on Communication Networks and Power Systems (WCNPS) ◽

10.1109/wcnps50723.2020.9263766 ◽

2020 ◽

Author(s):

Jonas Villela de Souza ◽

Gabriela Nunes Lopes ◽

Jose Carlos Melo Vieira ◽

Eduardo N. Asada

Keyword(s):

Neural Networks ◽

Fourier Transform ◽

Artificial Neural Networks ◽

Fault Detection ◽

Distribution Systems ◽

High Impedance ◽

High Impedance Fault ◽

Artificial Neural

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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 ◽

Cited By ~ 43

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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