DocumentCode
3400406
Title
Statistical method for fault detection in synchronous generators
Author
Yadaiah, Narri ; Ravi, Nagireddy
Author_Institution
Dept. of Electr. & Electron. Eng., Jawaharlal Nehru Technol. Univ., Hyderabad, India
fYear
2012
fDate
10-12 Jan. 2012
Firstpage
1
Lastpage
4
Abstract
This paper presents a new methodology to detect faults in synchronous generators. The proposed approach is based on principal component analysis. Principal component analysis is a multivariate statistical technique used for detecting fault transients and characterization of faults. The proposed fault detection scheme is able to distinguish internal and external faults. The proposed scheme will aid in development of an automatic protective relay for the synchronous generators.
Keywords
fault diagnosis; principal component analysis; relay protection; synchronous generators; automatic protective relay; external faults; fault detection; fault transients; internal faults; principal component analysis; statistical method; synchronous generators; Circuit faults; Fault detection; Principal component analysis; Stator windings; Synchronous generators; Fault Detection; Principal Component Analysis; Square Prediction Error; Synchronous Generator;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication and Informatics (ICCCI), 2012 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4577-1580-8
Type
conf
DOI
10.1109/ICCCI.2012.6158896
Filename
6158896
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