![](/images/graphics-bg.png)
Diagnosis of Short-Circuit Fault in Large-Scale Permanent-Magnet Wind Power Generator Based on CMAC
Joint Authors
Shiu, Jen
Yau, Her-Terng
Hsieh, Chin-Tsung
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This study proposes a method based on the cerebellar model arithmetic controller (CMAC) for fault diagnosis of large-scale permanent-magnet wind power generators and compares the results with Error Back Propagation (EBP).
The diagnosis is based on the short-circuit faults in permanent-magnet wind power generators, magnetic field change, and temperature change.
Since CMAC is characterized by inductive ability, associative ability, quick response, and similar input signals exciting similar memories, it has an excellent effect as an intelligent fault diagnosis implement.
The experimental results suggest that faults can be diagnosed effectively after only training CMAC 10 times.
In comparison to training 151 times for EBP, CMAC is better than EBP in terms of training speed.
American Psychological Association (APA)
Hsieh, Chin-Tsung& Yau, Her-Terng& Shiu, Jen. 2013. Diagnosis of Short-Circuit Fault in Large-Scale Permanent-Magnet Wind Power Generator Based on CMAC. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011208
Modern Language Association (MLA)
Hsieh, Chin-Tsung…[et al.]. Diagnosis of Short-Circuit Fault in Large-Scale Permanent-Magnet Wind Power Generator Based on CMAC. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1011208
American Medical Association (AMA)
Hsieh, Chin-Tsung& Yau, Her-Terng& Shiu, Jen. Diagnosis of Short-Circuit Fault in Large-Scale Permanent-Magnet Wind Power Generator Based on CMAC. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011208
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011208