Study on the Use of Blind ICA in Diesel Engine Vibration Processing

Abstract:

A method which can be used to analyze and separate the vibration signals of diesel engine is proposed. The vibration signals contain a great deal of information about the engine’s fault state, and it is hard to obtain the fault characteristic parameters because of the complex mechanical movement and operating conditions. Study on vibration by fourth order blind identification is carried out in this paper. And FOBI model that estimate the separation matrix by independent component analysis is established and applied to diesel engine vibration to separate the different signals. The results show that signals of different characteristics can be separated perfectly. This method can be used as the pre-processing step to obtain the fault characteristic parameters.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 430-433
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.430
• Online since: December 2012
• Authors: Chao Ming Huang, Ping Zhang, Hong Liang Yu
• Keywords: Blind ICA, Fault Diagnosis, FOBI, Vibration Signal

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