燃气轮机预测及诊断方法研究进展  

Methodologies Progress of Prognosis and Diagnosis of Gas Turbine

作　　者：王小川[1] 张劝华[2] 

机构地区：[1]海军工程大学动力工程学院,武汉430033 [2]海军装备部,北京100071

出　　处：《燃气轮机技术》2017年第1期7-10,共4页Gas Turbine Technology

基　　金：国家自然科学基金项目(51609250)

摘　　要：针对燃气轮机气路性能退化趋势预测和部件剩余寿命预测方法的最新研究进展进行了综述。随着故障预测精度和可靠性要求的提高,传统的故障预测方法已经不能满足燃气轮机故障预测需求。因此需要在传统预测方法及模型的基础上进行改进,以适应不同环境下燃气轮机故障预测及诊断的需求。An overview of the new advances was given for the prognosis on gas path performance degradation and residual life prediction of gas turbine. As the rise of the need of the prognosis accuracy grade and reliability,the traditional method of prediction cannot satisfy the need yet. Therefore,the prognosis and the diagnosis should be improved based on the traditional methods and models to meet the need of gas turbine under different conditions.

关 键 词：燃气轮机 故障预测 视情维护 故障诊断 

分 类 号：TK471[动力工程及工程热物理—动力机械及工程]