基于时频相干分析的曲轴主轴承磨损故障诊断研究

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摘要为了早期发现曲轴轴承磨损故障，提出一种基于时频相干分析的曲轴轴承磨损故障诊断方法。首先，对曲轴主轴承座和机体振动信号进行分析，搞清曲轴轴承磨损故障振动信号产生机理；其次，对故障源与机体信号进行时频相干估计，建立故障源振动传播模型；最终，根据传播模型对机体振动信号进行故障特征提取与诊断识别。研究结果表明：该方法可以揭示曲轴磨损故障产生机理，建立故障源与机体振动之间的映射关系，为曲轴轴承磨损故障的不解体诊断提供理论依据。

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	贾继德1
	吴春志1
	张玲玲2
	贾翔宇1

关键词 ：主轴承磨损, 激励源, 振动传播, 特征提取, 故障诊断

Abstract：For early detection of the crank-bearing wear fault, a fault diagnosis method is proposed based on time-frequency Coherence Analysis. First, vibration signals from the main bearing cover and engine block were analyzed to find out the fault generation mechanism. Secondly, time-frequency coherence between the fault source excitation and block vibration was estimated to build vibration propagation model from the excitation sources. Finally, fault features were extracted and diagnosed based on the propagation model. The results show that the method can reveal the mechanism of crank-bearing wear fault, establish the mapping relationship between the sources and block vibration, provide a fault diagnosis theoretical basis for the crank-bearing wear without engine disassembly.

Key words： Main bearing wears Excitation sources Vibration Propagation Feature extraction Fault diagnosis

收稿日期: 2016-09-21 出版日期: 2018-01-15

引用本文:

贾继德1，吴春志1，张玲玲2，贾翔宇1. 基于时频相干分析的曲轴主轴承磨损故障诊断研究[J]. 振动与冲击, 2018, 37(2): 114-120.
JIA Ji-de1, WU Chun-zhi1, ZHANG Ling-ling 1, JIA Xiang-yu1. Fault Diagnosis Research for Crankshaft Main Bearing Wear Based on Time-Frequency Coherence. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(2): 114-120.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I2/114

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