水电机组状态监测与故障诊断技术研究现状与发展  

Current research and development of state monitoring and fault diagnosis of hydropower units

作　　者：张礼达[1] 任腊春[1] 

机构地区：[1]西华大学能源与环境学院,四川成都610039

出　　处：《水利水电科技进展》2007年第5期85-89,共5页Advances in Science and Technology of Water Resources

基　　金：四川省教育厅重点项目(0228993)

摘　　要：根据状态监测与故障诊断技术在水电领域的应用情况,介绍了水电机组稳定性、水轮机空蚀和调速系统等水电机组状态监测与故障诊断的主要内容及其现状;着重阐述了故障树分析法、模糊理论、人工智能及小波分析等该领域的主要研究方法和研究成果及其应用情况;并对水电机组状态监测与故障诊断技术的发展前景和趋势进行了分析与展望。Based on the current situation of the application of the state monitoring and fault diagnosis technology in the field of hydropower engineering, the main contents of state monitoring and fault diagnosis of hydropower units were introduced, including the stability of hydropower units, the cavitation of turbines, the state of speed regulation system, and so on. The main research methods, including the fault tree analysis, the fuzzy theory, the artificial intelligence, the wavelet analysis, etc., the situation of their applications and the achievement of research were focused. Finally, the development trend of the technology was prospected.

关 键 词：水电机组 状态监测 故障诊断 综述 

分 类 号：TV738[水利工程—水利水电工程]