Fault diagnosis of hydro turbine regulation system based on PCA-SDG
Liu Minghua1,2, Nan Haipeng1, Yu Xiangyang1
1.Institute of Water Resource and Hydro-Electric Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China; 2.School of Metallurgical Engineering, Xi′an University of Architecture and Technology, Xi′an, Shaanxi 710055, China
Abstract：The method of fault diagnosis based on signed directed graph(SDG)was presented. The SDG model and inference rules for closed loop control system were established. For hydro turbine regulating process, the model of fault diagnosis and inference rules based on SDG was established by an experience approach. The principal component analysis(PCA)method combined with SDG model was applied to solve the subjectivity problem in the process for determining the node symbols and the "combination explosion" problem of the node threshold. Firstly, PCA model was established based on system operating data, then the residual error statistics were constructed for fault detection. When fault occurs, contribution rate of each detection component on residual error statistics will be compared with the contribution rate of setting thre-shold value to obtain the qualitative symbols value of each detection component. The symbol value can be assigned to the corresponding node in the SDG model. Then, fault inference can be conducted according to the SDG inference rules to find out fault source. This PCA-SDG based fault diagnosis method was applied to analyze sensors diagnosis of hydro turbine regulating process, constant deviation fault of sensor was introduced to simulate, and the results prove that this method is practically feasible.
刘明华,, 南海鹏, 余向阳. 基于PCA-SDG的水轮机调节系统故障诊断[J]. 排灌机械工程学报, 2013, 31(12): 1065-1071.
Liu Minghua,, Nan Haipeng, Yu Xiangyang. Fault diagnosis of hydro turbine regulation system based on PCA-SDG. Journal of Drainage and Irrigation Machinery Engin, 2013, 31(12): 1065-1071.
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