故障诊断专家系统在水电厂的应用

水电机组故障诊断技术是水电厂开展状态检修的基础。水电机组作为大型旋转机械,其振动可以反映机组大部分故障。专家系统是人工智能领域应用比较成熟的技术,现在故障诊断专家系统已在国内水电厂逐步推广。本文在水电机组状态监测的基础上,针对水电机组的振动故障,提出一种基于产生式规则的专家系统。它主要由知识库、推理机、数据库、人机接口等部分组成。最后,利用实际数据进行诊断和分析,并根据机组检修情况对诊断结果进行验证,证明专家诊断系统能够给检修人员提供机组故障产生的可能原因和部位,对机组检修起到一定的指导作用。

Application of Fault Diagnosis Expert System to Hydropower Plant

The fault diagnosis technology of hydropower units is the basis of condition based maintenance of hydroelectric power plant. As a kind of large rotating machinery, the vibration of Hydropower units can reflect most of the units fault. Eexpert system is a relatively mature technology in the field of artificial intelligence, and the fault diagnosis expert system is gradually applied to hydroelectric power plant in domestic. Basing on the condition monitoring of hydropower units, a fault diagnosis expert system baced on production rules for the vibration fault of hydroelectric unit is put forward. The system mainly consists of knowledge base, inference engine, database, human-computer interface and other components. Finally, get the diagnosis results with actual data, and then validate the diagnosis results based on the maintenance report of the hydropower units. The conclusion proved that the diagnostic results of expert system can provide may causes and locations of faults to the staff, and can provide some guidence for the maintenance of Hydropower units.