The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 28-931
Full Name: Yuying Shao
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, PR. CHINA
Country: CHINA
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E-mail address: yyshao@sjtu.edu.cn
Other E-mails: geng.na2007@gmail.com
Title of the Paper: online state diagnosis of transformer windings based on time-frequency analysis
Authors as they appear in the Paper: Yuying Shao, Zhushi Rao,Zhijian Jin
Email addresses of all the authors: yyshao@sjtu.edu.cn
Number of paper pages: 10
Abstract: The power transformers are the key equipments in the power system. To keep the stable operation of the transformers, it¡¯s necessary to get their state information on a real-time basis. Therefore, the efficient online monitoring system is developed which obtain the state of the transformers by the accelerometers attached on the tank. The locations of these accelerometers can be determined by the method of varying current with constant frequency. The vibration intensity change is used to initially detect the windings' state by online monitoring the vibration signal of the shocks. Then the time-frequency analysis further processes these signals in order to detect the fault information contained. The short-circuit experiments have been done on the large power transformer of 50000KVA, which finds that the time-frequency analysis can be used to more precisely detect the fault characteristics of windings. Compared with traditional off line short circuit reactance method,!
the time-frequency analysis is more effective.
Keywords: Transformer winding, time-frequency analysis, Vibration intensity£¬Short-circuit reactance£¬Condition monitoring
EXTENSION of the file: .pdf
Special (Invited) Session: Time-frequency Analysis Based State Diagnosis of Transformers¡¯ Windings under the Short-Circuit Shock
Organizer of the Session: 609-581
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