Wavelet application for determining missing cylinders

In this article, wavelet analysis to analyze signals in the engine faults diagnose is studied. Taking advantage of the wavelet analysis tools of MATLAB 6.0 software, it calculates the wavelet transform coefficients of the normal and abnormal signals, analyzes differences between normal and abnormal signals by using the parameters, such as average evolution root, kurtosis factor and average index. Moreover, it put forward a new method, in which the missing cylinder fault can be detected by the wavelet analysis.