Title :
The identification based on the two visual measures for ring gumming fault in vehicle diesel engine
Author :
Yu, Zhang ; Zhipei, Zhang
Author_Institution :
Changsha Commun. Univ., China
Abstract :
In this paper, two visual measures-the dyadic wavelet chart and Poincare image-are applied to the fault identification for a series of time domain data obtained from a four-cylinder vehicle diesel engine block in the condition of first compressing ring gumming. The results show that the measures have the capacity of identifying faults successfully
Keywords :
Poincare mapping; automotive electronics; fault diagnosis; internal combustion engines; time-domain analysis; wavelet transforms; Poincare image; dyadic wavelet chart; fault identification capacity; four-cylinder vehicle diesel engine block; ring gumming fault identification; time domain data; vehicle diesel engine; visual measures; Covariance matrix; Diesel engines; Fault diagnosis; Sampling methods; Testing; Time measurement; Vectors; Vehicles; Wavelet domain; Wavelet transforms;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830669
