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Proceedings Paper

Diesel engine air tightness feature recognition based on multi-scale analysis
Author(s): Xiaojie Song; Wei Liu; Boxue Tan
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Paper Abstract

Cylinder air tightness is an important indicator to the comprehensive performance of internal combustion engine. It can be got the low-frequency and high-frequency signals of the starting voltage waveform using multi-scale analysis method and by binary discrete wavelet transform with the Mallat algorithm. The experiment results show that the working conditions of diesel engine starting process can be shown from the low-frequency signals, and the main frequency distribution can be recognised from the high frequency partial. This algorithm can effectively identify signal characteristics, and provide a reliable basis for signal feature recognition.

Paper Details

Date Published: 13 March 2013
PDF: 4 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87842C (13 March 2013); doi: 10.1117/12.2021214
Show Author Affiliations
Xiaojie Song, Shandong Univ. of Technology (China)
Wei Liu, Shandong Univ. of Technology (China)
Boxue Tan, Shandong Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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