Morphological Undecimated Wavelet Decomposition Fusion Algorithm and Its Application on Fault Feature Extraction of Hydraulic Pump
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Abstract:
Since vibration signals of hydraulic pump are mostly nonlinear and traditional fusion algorithm cannot satisfyingly process them, a morphological undecimated wavelet decomposition fusion (MUWDF) algorithm is proposed. Firstly, under the framework of morphological undecimated wavelet decomposition (MUWD), multichannel signals are decomposed. Approximate signals of all decomposition layers are selected by feature energy factor and fused according to the presented fusion rules. Furthermore, specific method for optimal selection of MUWDF parameters is presented to avoid subjective influences. Finally, the proposed algorithm is verified by simulation signals and pump vibration signals.
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Project Supported:
the National Natural Science Foundation of China (No.51275524)
Sun Jian. Morphological Undecimated Wavelet Decomposition Fusion Algorithm and Its Application on Fault Feature Extraction of Hydraulic Pump[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2015,32(3):268-278