Application of vibration monitoring in fault diagnosis of gas turbine blades

Abstract

Abstract: Abstract: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.

Key words: Keywords:gas turbine, blade, fault diagnosis, vibration monitoring, signal analysis

PENG Tongyu. Application of vibration monitoring in fault diagnosis of gas turbine blades[J]. Huadian Technology, 2014, 36(12): 40-41.

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Application of vibration monitoring in fault diagnosis of gas turbine blades

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