Title: Intelligent fault diagnosis of house transformer simulation system in hydro-electricity factory by fuzzy reasoning
Authors: Ye Xu
Addresses: College of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
Abstract: Fault diagnosis of house transformer in hydro-electrical simulating system (HESS) is studied. Fuzzy reasoning is used in the fault diagnosis due to the uncertainty and complexity in house transformer faults. Fuzzy diagnosis matrix is firstly constructed according to the collection of fault symptoms and the cause set. Fault-cause fuzzy vector, then, is gained after computation between fault symptom fuzzy vector and fuzzy diagnosis matrix. With the maximum membership principle exerted on this fault cause fuzzy vector, fuzzy fault diagnosis is implemented. Real data from a hydro-electric factory is used in experiments proving the efficiency of the fuzzy fault diagnosis method.
Keywords: intelligent fault diagnosis; hydroelectricity; hydroelectric factory; simulation; fuzzy sets; house transformers; fuzzy reasoning; fuzzy logic.
International Journal of Internet Manufacturing and Services, 2013 Vol.3 No.2, pp.87 - 98
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 16 Jan 2014 *