Title :
Fault diagnosis of hydraulic variable pitch for wind turbine based on qualitative and quantitative analysis
Author :
Han, Xiaojuan ; Zhang, Hao ; Chen, Yueyan ; Zhang, Xilin ; Wang, Chengmin
Author_Institution :
Dept. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
Qualitative analysis and quantitative analysis are combined to carry on hydraulic variable pitch system fault diagnosis of wind turbine. Fault tree model of hydraulic system is established by the analysis of hydraulic system fault symptoms set. Petri net model of hydraulic system fault can be obtained by fault tree using the matrix operations of Petri net to achieve the conversion from qualitative to quantitative which can make up the shortcoming of fault tree model inclining to qualitative analysis when the basic event is difficult to determine its occurrence probability. The validity of the model is verified by simulation example.
Keywords :
Petri nets; fault diagnosis; fault trees; power generation reliability; wind turbines; Petri net model; fault diagnosis; fault tree model; hydraulic variable pitch system; matrix operations; occurrence probability; qualitative analysis; quantitative analysis; wind turbine; Analytical models; Circuit faults; Fault diagnosis; Fault trees; Hydraulic systems; Logic gates; Wind turbines; Petri net; fault diagnosis; fault tree; hydraulic variable pitch;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358420
