论文部分内容阅读
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。
Hydroelectric unit fault diagnosis technology is the basis of state maintenance of hydropower plants. Hydropower as a large rotating machinery, the vibration can reflect most of the unit failure. Expert system is a relatively mature technology in the field of artificial intelligence. Now the fault diagnosis expert system has been gradually popularized in domestic hydropower plants. In this paper, based on the condition monitoring of hydropower units, aiming at the vibration faults of hydropower units, an expert system based on production rules is proposed. It mainly by the knowledge base, reasoning machine, database, man-machine interface and other components. Finally, the actual data is used for diagnosis and analysis. The diagnosis results are verified according to the maintenance condition of the unit. It is proved that the expert diagnosis system can provide the maintenance personnel with the possible causes and parts of the unit fault, which will play a guiding role in the overhaul of the unit.