Wear fault diagnosis for crankshaft main bearing based on time-frequency coherence analysis

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (2) : 114-120.

JIA Ji-de1, WU Chun-zhi1, ZHANG Ling-ling 2, JIA Xiang-yu1

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Abstract

To early detect crank-bearing wear faults, a fault diagnosis method was proposed based on time-frequency coherence analysis. Firstly, vibration signals measured from the main bearing cover and engine body were analyzed to find the vibration signals generation mechanism due to crank-bearing wear faults. Secondly, the time-frequency coherence between the fault source and engine body signals was estimated to build the fault source vibration propagation model. Finally, according the propagation model, the fault features were extracted from engine body vibration signals, they were diagnosed and identified. The results showed that the proposed method can reveal the generation mechanism of crank-bearing wear fault, establish the mapping relationship between the fault source and engine body vibration, and provide a theoretical basis for crank-bearing wear fault diagnosis without disassembly.

Key words

main bearing wear / excitation source / vibration propagation / feature extraction / fault diagnosis

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JIA Ji-de1, WU Chun-zhi1, ZHANG Ling-ling 2, JIA Xiang-yu1. Wear fault diagnosis for crankshaft main bearing based on time-frequency coherence analysis[J]. Journal of Vibration and Shock, 2018, 37(2): 114-120

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