Research on separation of diesel vibration signal based on blind deconvolution

CAI Yan-ping;LI Ai-hua;SHI Lin-suo;QIN Liang;ZHANG Ya-zhou

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (9) : 38-41.

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PDF(1084 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (9) : 38-41.
论文

Research on separation of diesel vibration signal based on blind deconvolution

  • CAI Yan-ping;LI Ai-hua;SHI Lin-suo ;QIN Liang;ZHANG Ya-zhou
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Abstract

The fault diagnosis method based on vibration signal analysis depends on efficient extraction of mechanical state feature. Blind source separation is an efficient method for feature extraction, which can separate source signals from complex signals. The founded multichannel blind deconvolution model and mechanical system vibration model respectively pointed out the consistency berween these two models, verified the feasibility of using blind deconvolution to separate mechanical vibration signal. MBLMS arithmetic was used to separate vibration signals of diesel engine. The signals of piston slap, combustion and closure of input value were successfully separated, the results verified blind deconvolution can sucessfully separation desiel vibration signal.

Key words

Blind source separation / Blind deconvolution / Vibration model / MBLMS / Diesel engine

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CAI Yan-ping;LI Ai-hua;SHI Lin-suo;QIN Liang;ZHANG Ya-zhou. Research on separation of diesel vibration signal based on blind deconvolution[J]. Journal of Vibration and Shock, 2010, 29(9): 38-41
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