Study on Feature Extraction of Diesel Engine Vibration Signal Based on Waveletpacket Transform and Singularity Value Decomposition
LI Guo-bin1,2, GUAN De-lin2, LITing-ju1
1 Postdoctoral Station of School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024,China; 2 Marine Engineering College, Dalian Maritime University, Dalian 116026, China
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.
李国宾;关德林;李廷举. 基于小波包变换和奇异值分解的柴油机振动信号特征提取研究[J]. , 2011, 30(08): 1-4.
LI Guo-bin;GUAN De-lin;LITing-ju. Study on Feature Extraction of Diesel Engine Vibration Signal Based on Waveletpacket Transform and Singularity Value Decomposition. , 2011, 30(08): 1-4.
2011, Vol. 30 
