机械科学与技术2001，Vol.20Issue(3)：432-434,446,4.
图像处理在内燃机故障诊断中的应用研究
An Application of Image Processing to Fault Diagnosis for Internal Combustion Engines
夏勇 1商斌梁 1张振仁 1薛模根 1郭明芳1
作者信息
摘要
Abstract
Based on image processing, we present an advanced fault diagnosis approach for internal combustion engines. The cylinder head vibration signals were decomposed with wavelet packet algorithm and the time-frequency images of the vibration signals were obtained. Features of the vibration signals were extracted in the time-frequency images. The fault diagnosis model based on the time-frequency image's matching can effectively carry out diagnosis for the valve train on a four-stroke and six-cylinder diesel engine. It is not effective to diagnose with gray histograms of the time-frequency images and the reason is given. The deviation of vibration signal's phase will lead to deterioration of diagnosis. Therefore attention must be paid to the phase information of the vibration signal when one uses the diagnosis model. Comparisons of diagnosis are made between noise-added signals and original signals. There is little effect on the diagnosing after signals were added with noise, so this model is good for engineering application.关键词
图像处理/内燃机/故障诊断/振动分类
机械制造引用本文复制引用
夏勇,商斌梁,张振仁,薛模根,郭明芳..图像处理在内燃机故障诊断中的应用研究[J].机械科学与技术,2001,20(3):432-434,446,4.
