首页|期刊导航|国际设备工程与管理（英文版）|Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural Networks
国际设备工程与管理（英文版）2004，Vol.9Issue(3)：155-163,9.
Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural Networks
Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural Networks
摘要
Abstract
The cone-shaped kernel distributions of vibration acceleration signals, which were acquired from the cylinder head in eight different states of a valve train, were calculated and displayed in grey images. Probabilistic Neural Networks (PNN) was used to classify the images directly after the images were normalized. By this way, the problem of fault diagnosis for a valve train was transferred to the classification of time-frequeacy images. As there is no need to extract features from time-frequency images before classification, the fault diagnosis process is highly simplified. The experimental results show that the vibration signals can be classified accurately by the proposed methods.关键词
diesel engine/fault diagnosis/time-frequency analysis/probabilistic neural networksKey words
diesel engine/fault diagnosis/time-frequency analysis/probabilistic neural networks分类
机械制造引用本文复制引用
WANG Cheng-dong,WEI Rui-xuan,ZHANG You-yun,XIA Yong..Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural Networks[J].国际设备工程与管理（英文版）,2004,9(3):155-163,9.基金项目
This project is sponsored by the National Natural Science Foundation of China under Grant No. 50335030 （）
