The Fault Diagnosis of Large-Scale Wind Turbine Based on Expert System

摘要：

The wind turbine is the critical equipment for wind power, due to the poor working environment and the long running, the wind turbine components will have a variety of failures. Planned maintenance which has long been used is unable to understand the operational status of equipment comprehensively and timely in a way, especially for large wind machine, the repair work took too long time and cause serious damage. Therefore, fault diagnosis and predictive maintenance becomes more imminent. In this paper, the fault symptoms and corresponding reason of the largescale wind turbine parts are analyzed and summarized ,such as gear box, generator, yaw system, and so on. And on this basis, the large-scale wind turbine fault diagnosis expert system was constructed by using expert system tool CLIPS and Visual C ++.

关键词： large-scale wind turbinet fault symptoms CLIPS Visual C++ fault diagnosis expert system.

作者: Changzheng Chen Yun li

作者单位: School of mechanical engineering Shenyang University of Technology Shenyang, China School of science information & engineering Shenyang University of Technology Shenyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 763-766

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）