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基于小波分析的压气机失速故障检测
引用本文:姜涛,贾智伟,李应红.基于小波分析的压气机失速故障检测[J].推进技术,2003,24(1):55-57.
作者姓名:姜涛  贾智伟  李应红
作者单位:空军工程大学,飞机发动机工程系,陕西,西安,710038
摘    要:当发动机发生失速时,会引起压气机内压力信号的变化,这种压力信号的变化可以看作信号的奇异点,利用小波分析所具有的时-频特性和多分辨分析的特点,结合对压气机内压力信号频率成分的研究,通过检测模极大值的方法来确定信号的奇异点,进而探测压气机的失速故障,结果表明,利用该方法可以准确地检测压气机失速故障。

关 键 词:航空发动机  压气机  小波变换  失速特性  故障检测
文章编号:1001-4055(2003)01-0055-03
修稿时间:2001年12月28

Detection of compressor stall based on wavelet analysis
JIANG Tao,JIA Zhi wei and LI Ying hong.Detection of compressor stall based on wavelet analysis[J].Journal of Propulsion Technology,2003,24(1):55-57.
Authors:JIANG Tao  JIA Zhi wei and LI Ying hong
Abstract:Stall in engine compressor will result in variation of pressure in its compressors, which is regarded as a singularity of signal. Considering the good performance of wavelet analysis in time and frequency domain, a method based on multi scale wavelet transform was proposed to detect the compressor stall, which is based on the fact the wavelet transform of a signal will take its modulus maximum at its singular point in transform domain. As a result, the engine stall is detected precisely through the method developed in this paper.
Keywords:Aircraft engine  Air compressor  Wavelet transform  Stalling characteristic  Fault detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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