Paper Title:

Misfire Diagnosis of Diesel Engine Based on Short-Time Vibration Characters

Periodical Applied Mechanics and Materials (Volumes 34 - 35)
Main Theme Mechanical Engineering and Green Manufacturing
Edited by Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages 301-305
DOI 10.4028/www.scientific.net/AMM.34-35.301
Citation Zhao Qian Zhu et al., 2010, Applied Mechanics and Materials, 34-35, 301
Online since October 2010
Authors Zhao Qian Zhu, Jue Yang, Xiao Ming Zhang, Xiao Lei Li
Keywords Diesel Engine, Misfire, Neural Network (NN), Vibration
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This paper studied misfire diagnosis of diesel engine based on short-time vibration characters. Misfire of diesel engine was simulated by the vibration monitoring test. Cylinder vibration signal and top center signal were collected under different states. The short-time vibration signal of each cylinder was intercepted according to the diesel combustion sequence, effective value was calculated, and BP Neural Network model built with this character was used to diagnose diesel misfire. The result shows that this method can locate the misfire cylinder effectively, and it is meaningful for guiding the detection and repair of vehicles.