Study on Feature Extraction of Diesel Engine Vibration Signal Based on Waveletpacket Transform and Singularity Value Decomposition

PDF(1323 KB)

Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (8) : 149-152.

论文

Study on Feature Extraction of Diesel Engine Vibration Signal Based on Waveletpacket Transform and Singularity Value Decomposition

LI Guo-bin1,2; GUAN De-lin2; LI Ting-ju1

Author information +

History +

Abstract

In order to recognize the operating conditions of diesel engine, a novel approach for extracting feature of vibration signals was proposed using waveletpacket transform and singularity value decomposition. The waveletpacket transform and the singularity value decomposition arithmetic were introduced. The characteristic parameters were defined based on the singular value characteristic vector. The intrinsic relationship between the characteristic parameters and the operating condition of diesel engine were discussed. It has been shown that the characteristic parameters can sensitively reflect the working performance of diesel engine. When the working performance of diesel engine turns for the worse and the intensity of vibration increases, the characteristic parameters appear larger. Therefore the characteristic parameters could be considered as parameters to inspect and diagnose the state and the fault of engine.

Key words

vibration signal / diesel engine / waveletpacket transform / singularity value decomposition / characteristic parameter

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

LI Guo-bin; GUAN De-lin; LI Ting-ju. Study on Feature Extraction of Diesel Engine Vibration Signal Based on Waveletpacket Transform and Singularity Value Decomposition[J]. Journal of Vibration and Shock, 2011, 30(8): 149-152