The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 29-507
Full Name: Linpeng Yao
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 800 Dongchuan Road, Shanghai City
Country: CHINA
Tel: 34204289-14
Tel prefix: 86-021
Fax: 34204289-16
E-mail address: yaolinpeng@sjtu.edu.cn
Other E-mails: woodmoon@powerpd.com
Title of the Paper: studies on multi-agent based partial discharge online monitoring system for high voltage apparatus
Authors as they appear in the Paper: Linpeng Yao,Chenjun Huang,Li Zhang,Yong Qian,Hui Wang,Junhua Liu,Canxin Guo,Xiuchen Jiang
Email addresses of all the authors: yaolinpeng@sjtu.edu.cn,chjhuang@sjtu.edu.cn,frankhery@powerpd.cn,qian_yong@sjtu.edu.cn,frankhery@hotmail.com,drunhua@sjtu.edu.cn,kwok@powerpd.cn,xcjiang@sjtu.edu.cn
Number of paper pages: 10
Abstract: In the contribution, the authors applied the Multi-Agent methodology to the partial discharge (PD) online diagnosis for high voltage apparatus, and a PD diagnosis Multi-Agent system for high voltage apparaus was implemented. Based on the investigation of problems existing in partial discharge detection and evaluation, such as preprocessing, features extraction, trend and fingerprint analysis, corresponding methods and schemes were described. The framework of the Multi-Agent system and detailed design of each agent were also depicted. And furthermore, a complete system implemented by Zeus are established for performing evaluation in field application.
Keywords: High voltage, Partial discharge, Multi-Agent, Monitoring, .Net Framework, Zeus
EXTENSION of the file: .doc
Special (Invited) Session: Investigation of Multi-Agent based online partial discharge monitoring system for generator
Organizer of the Session: 613-246
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