Air Valve Fault Diagnosis of Diesel Engine Based on Acoustic Signal Analysis

Abstract

Acoustic fault diagnosis system of diesel engine is based on the analysis of the measured sound signals and try to extract the fault information contained in the signals which can be able to characterize the fault, and the contents of the research relates to the separation and feature extraction of the sound signal. In this paper, the research object is the diesel engine air valve abnormal sound signal. In order to identify the fault type, some digtal signal analysis methods such as digital filtering, wavelet transform and power spectral analysis method are adopted to extract and separate the abnormal sound signal. The results show that the methods owning some good analysis effects expressed as small amount of calculation and easy-to-real-time processing, which will contribute to the development of online sound fault detection device.