Study on the Use of Ambiguity Function Images in Fault Diagnosis for Diesel Valve Train
Chengdong Wang, Youyun Zhang, Yong Xia · Transactions of Csice · 2004
The ambiguity functions of eight kinds of vibration acceleration signals, which were acquired from the cylinder head in eight different states of valve train, were calculated and displayed in grey-level images in this paper. A series of ambiguity function images were obtained, from which eight standard ambiguity function images were built. By using six indexes, such as euclidean distance, similarity, J-divergence and so on, the testing images were classified into eight types, which correspond to eight states of valve train. The process of fault diagnosis for valve train was transformed to the classification of ambiguity function images. The experimental results showed that a very high rate of correct recognition could be obtained using ambiguity function images. Among the six indexes, Euclidean distance and similarity are more suitable for classifying. The method of Image averaging can improve the correct recognition rate of fault diagnosis effectively.