The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 32-818
Full Name: Wen-Yeau Chang
Position: Associate Professor
Age: ON
Sex: Male
Address: No. 499, Sec. 4, Tam King Road, Tamsui, Taipei 251, Taiwan
Country: TAIWAN
Tel: 886-2-28013131 ext. 6514
Tel prefix:
Fax: 886-2-28013973
E-mail address: changwy@mail.sju.edu.tw
Other E-mails: changwy@ms5.hinet.net
Title of the Paper: Application of Grey Clustering Approach and Genetic Algorithm to Partial Discharge Pattern Recognition
Authors as they appear in the Paper: Wen-Yeau Chang
Email addresses of all the authors: changwy@mail.sju.edu.tw
Number of paper pages: 11
Abstract: Partial discharge (PD) measurement and recognition is a significant tool for potential failure diagnosis of the high-voltage equipment. This paper proposes the application of grey clustering approach (GCA) to recognize partial discharge patterns of the high-voltage equipment. The PD patterns are measured by using a commercial PD detector. A set of features, used as operators, for each PD pattern is extracted through statistical schemes. The significant features of PD patterns are extracted by using the genetic algorithm (GA). The proposed grey clustering approach has the advantages of high robustness and effectiveness to ambiguous patterns and is useful in recognizing the PD patterns of the high-voltage equipment. To verify the effectiveness of the proposed method, the grey clustering approach was verified on two types of high-voltage equipments. The test results show that the proposed approach may achieve quite satisfactory recognition of PD patterns.
Keywords: Partial Discharge, Pattern Recognition, Grey clustering approach, Genetic algorithm
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 61.229.151.115
