摘要
简要介绍了火电机组热力系统故障智能诊断系统的总体功能结构和诊断模型构成。结合某30 0 MW火电机组高压给水加热器系统故障诊断实例 ,详细阐述各模块的功能和实现方法。针对模型软件开发中的关键技术 ,详细论述了电站热力系统故障诊断中语义型和趋势型两种征兆的模糊数学表达及合成计算方法 ,该综合运用有利于提高故障诊断的及时性和诊断结果的可靠性 ;给出了模糊模式识别和人工神经网络两种故障智能诊断模型 ,讨论了两种模型的技术要点。给出了高压给水加热器系统具体诊断算例 。
The general function and structure of a fault intelligent diagnosis system for power station thermal system is described. Taking a high-pressure feed-water heater system of a 300 MW unit as an example, the fuzzy expression method for two different symptoms and their synthesizing calculation under different conditions are explained, which the reliability of the fault diagnosis is improved with. Two intelligent fault diagnosis models, fuzzy pattern recognition method and artificial neural network method are presented. The key issues of the two models are discussed. Finally, the fault diagnosis examples are given, which verify the effectiveness of above models and methods.
出处
《电力系统自动化》
EI
CSCD
北大核心
2002年第7期50-54,共5页
Automation of Electric Power Systems
基金
国家电力公司科技项目资助 (SPKJ0 16 - 2 2 )
