Instability Fault Knowledge Acquisition and Management of Pumped Storage Unit Based on FTA / FMEA and Ontology Theory

Xiaobo Li, Xiaofeng Jiao, H. Zu, Lihui Zhang, Jie Yun, C. He, Qiangqiang Wang
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Abstract

The operation condition of pumped storage unit is complex and switch frequently, which is easy to cause unit instability fault. Firstly, the pumped storage unit structure is decomposed according to the level of ‘system- subsystem- component’. The unit is divided into four subsystems in structure: motor-generator subsystem, pump turbine subsystem, pressure diversion subsystem and speed control subsystem. The unit equipment tree is established. Combined with unit operation characteristics and typical instability fault cases, the typical instability fault modes of pumped storage unit are determined. Then, FTA (Fault Tree Analysis) and FMEA (Failure Mode And Effects Analysis) are combined to obtain the instability fault knowledge of the unit by performing FTA first and then FMEA. Finally, aiming at the equipment structure information, FTA information and FMEA information of pumped storage unit, combined with ontology theory, the class and attribute relationship of the three types information ontology are analyzed. And the equipment information ontology, FTA ontology and FMEA ontology models are constructed respectively to realize the representation and management of fault knowledge.
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基于FTA / FMEA和本体理论的抽水蓄能机组不稳定故障知识获取与管理
抽水蓄能机组运行工况复杂、切换频繁,容易造成机组失稳故障。首先,按照“系统-子系统-部件”的层次对抽水蓄能机组结构进行分解。机组在结构上分为四个分系统:电机发电机分系统、水泵水轮机分系统、导压分系统和调速分系统。建立了机组设备树。结合机组运行特点和典型失稳故障案例,确定了抽水蓄能机组典型失稳故障模式。然后,将故障树分析(FTA)和故障模式与影响分析(FMEA)相结合,先进行故障树分析,再进行故障模式与影响分析(FMEA),得到机组的不稳定故障知识。最后,针对抽水蓄能机组的设备结构信息、FTA信息和FMEA信息,结合本体理论,分析了三类信息本体的类别和属性关系。并分别构建了设备信息本体、FTA本体和FMEA本体模型,实现了故障知识的表示和管理。
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