振动监测在燃气轮机叶片故障诊断中的应用

Application of vibration monitoring in fault diagnosis of gas turbine blades

振动监测是公认的检测和诊断燃气轮机初期故障的有效工具。总结了基于振动的燃气轮机叶片故障检测方法,详细介绍了频谱分析法、小波分析法、神经网络和模糊理论预判分析法以及基于模型的分析法。采取合适的方法提取动态信号,可以诊断出大多数类型的叶片故障。

Vibration monitoring is recognized as effective tool for the detection and early diagnosis of gas turbine fault. The article summarized vibration fault detection methods for gas turbine blade,introduced spectrum analysis,wavelet analysis,neural network and fuzzy theory pre-judgment analysis and model-based analysis methods in detail. The results show that,by adequately extracting the dynamic signal,most types of blades dysfunctions can be diagnosed.