Application of Wavelet Packet and Image Processing to Fault Diagnosis for I.C. Engines
There are few applications of image processing technology to diagnosing and state monitoring for internal combustion (I.C.) engines, which is discussed in detail in this paper. The time-frequency distribution images of cylinder head vibration signals are gotten by decomposing them with wavelet packet algorithm. It is the first time that we look at time-frequency distribution images from the point of images. Based on which, a new method that applying image processing technology to diagnosing and state monitoring for internal combustion engines is presented in this paper. A valve fault diagnosis model is set up by image matching, which is realized on a four-stroke, six cylinder diesel engine. At the same time, some notes are presented in this paper. It has been proved that it is of no good effect to diagnose with histograms of time-frequency images generated by cylinder head vibration signals that have been processed with wavelet packet algorithm. The results show that this method has a clear physical meaning and is of good engineering practicability, feasibility, good precision and fast speed.
Image Processing Wavelet Analysis Time-Frequency Distribution Image Vibration Signal
Yong Xia Feng Geng Guiyou Hao Zhibing Ni Xinhan Hu
Equipment Research Institute of Second Artillery Group Beijing 100085
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1223-1228
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）