Research on Axial Flow Compressor Fault Diagnosis Based on Wavelet Analysis

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Zhao, Weili^1

China Aero-Polytechnology Establishment, Beijing, China^1

关键词: Axial compressors;    Fault characteristics;    Fault diagnosis method;    Pressure signal;    Rapid identification;    Working state;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/3/032033/pdf
DOI  :  10.1088/1757-899X/563/3/032033

来源: IOP

【 摘 要 】

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.