Open AccessResearch on Axial Flow Compressor Fault Diagnosis Based on Wavelet Analysis
Author(s) -
Wei Zhao
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/563/3/032033
Subject(s) - gas compressor , wavelet , axial compressor , fault (geology) , signal (programming language) , reciprocating compressor , computer science , flow (mathematics) , process (computing) , state (computer science) , control theory (sociology) , acoustics , engineering , mechanical engineering , algorithm , artificial intelligence , physics , geology , mechanics , control (management) , seismology , programming language , operating system
The pressure signal of the axial compressor contains important information that reflects the working state of the compressor. The pressure signal in the compressor can be analyzed by wavelet analysis, which can provide an important basis for judging the working state of the compressor. In this paper, an axial-flow compressor fault diagnosis method based on wavelet analysis is proposed, which can be used to process the signal collected by the sensor in the compressor, and then to judge the state of the engine. The results show that the method can quickly and effectively identify the fault characteristics of the compressor and provide a new way for the rapid identification of the compressor fault.