Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural NetworksOA
Fault Diagnosis for a Diesel Valve Train Based on Time-Frequency Analysis and Probabilistic Neural Networks
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…查看全部>>
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 …查看全部>>
WANG Cheng-dong;WEI Rui-xuan;ZHANG You-yun;XIA Yong
Institute of Lubrication Theory and Bearing, Xi'an Jiaotong University, Xi'an 710049, P.R. ChinaInstitute of Lubrication Theory and Bearing, Xi'an Jiaotong University, Xi'an 710049, P.R. ChinaInstitute of Lubrication Theory and Bearing, Xi'an Jiaotong University, Xi'an 710049, P.R. ChinaThe 4th Research Institute of the Second Artillery, Beijing 100085, P.R. China
机械制造
diesel enginefault diagnosistime-frequency analysisprobabilistic neural networks
diesel enginefault diagnosistime-frequency analysisprobabilistic neural networks
《国际设备工程与管理（英文版）》 2004 (3)
155-163,9
This project is sponsored by the National Natural Science Foundation of China under Grant No. 50335030
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