Fault Diagnosis of Cylinder Scuffing for Diesel Engine Based on Windowing and Convolutional Neural Network

ZHANG Yongxiang; WANG Yu; YAO Xiaoshan

Vehicle Engine ›› 2019, Vol. 0 ›› Issue (6) : 84-89.

ZHANG Yongxiang¹,WANG Yu¹,YAO Xiaoshan²

Author information +

History +

Abstract

The vibration signal of cylinder scuffing for diesel engine was complicated and accompanied by strong background noise. A method of windowing and CNN was proposed to realize the endtoend fault pattern recognition, which made it easy to diagnose the fault of cylinder scuffing. The piston and cylinder pair with scuffing failure was first put into 6-135 diesel engine and the cylinder scuffing failure test was carried out to measure the acceleration signal of body surface under typical working conditions. Then the windowing position of acceleration signal was determined and the window processing was conducted to obtain the windowing signal samples according to the structure of diesel engine and the distribution of valve timing. The sample was divided into a training set and a test set. The training set was input into the CNN to perform continuous learning in order to update the model parameters and the test set was input into the trained CNN model in order to output the fault recognition result. The results show that the method of windowing and CNN can effectively diagnose the scuffing fault of diesel engine.