摘要
该文针对燃气轮机的状态监测和故障诊断问题 ,在单一故障诊断方法无法获得较为满意的诊断结果的情况下 ,提出了综合利用算法诊断、规则诊断和模型诊断等方法的混合智能诊断方法 ,根据系统故障诊断过程在不同状况下所具有的特点和任务 ,利用神经网络、规则推理和建立诊断数学模型等方法来有效的完成诊断任务。
Based on the analysis of condition monitoring and fault diagnosis of gas turbine and in order to improve the ability of fault diagnosis expert system,a hybrid intelligent diagnostic method for gas turbine is proposed.The method integrates the algorithmic diagnostic method,rule diagnostic method and modal diagnostic method.Based on features of the fault diagnostic process under different conditions,the integrated diagnostic method is used to effectively complete the fault mission.
出处
《船舶工程》
CSCD
北大核心
2000年第6期37-39,4,共3页
Ship Engineering
关键词
燃气轮机
故障诊断
数学模型
神经网络
专家系统
<Keywords>Fault diagnosis, Algorithmic model, Neural network, Gas turbine
