基于高阶累积量的柴油发动机曲轴轴承故障特征提取

夏天;王新晴;赵慧敏;梁升

振动与冲击 ›› 2011, Vol. 30 ›› Issue (1) : 77-81.

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (1) : 77-81.
论文

基于高阶累积量的柴油发动机曲轴轴承故障特征提取

  • 夏天1; 王新晴1; 赵慧敏2; 梁升1
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Extracting the Fault Features of Diesel Engine’s Crankshaft Bearing Based on High-order Cumulation

  • Xia Tian1; Wang XinQing1; Zhao HuiMin2; Liang Sheng1
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摘要

利用基于高阶累积量降维处理的1.5维谱、2.5维谱分析曲轴轴承不同磨损间隙下的发动机振动信号,提取曲轴轴承磨损故障的特征参数,有效地解决了高阶累积量计算量巨大,难以实现在线应用的缺点。试验时将振动加速度传感器放置在发动机缸体的5个不同的位置测取振动信号并分析,提取高阶谱降维处理后的特定频段内的频带能量作为特征值。结果表明,本文提出的方法能够有效地抑制噪声的干扰,提取出的特征参数能够较好地反映曲轴轴承的技术状态,且当发动机转速达1300r/min以上,振动加速度传感器置于油底壳与缸体接缝处的左右两侧时,采集的振动信号最能反映曲轴轴承的技术状况。

Abstract

Since the method of high order cumulation can not be used on-line because of longer computing time required, a new method using 1.5, 2.5 dimension spectrum is proposed to analyze vibration signals caused by difference crankshaft bearing clearances and extract the fault features of the crankshaft bearing. This new method holds the high order cumulation’s features in suppressing noise and extracting nonliner coupling characters. When vibration signals was acquired, vibrant sensor was fitted in 4 different position and the sum of energy of some frequency band was extracted as fault features. Experimental result shows that parameters present in this paper show the working conditions of crankshaft bearing much exactly, when the speed of engine is higher than 1300 r/min, the best diagnosis area for data collecting is the two side of the areas between the cylinder and the bottom of the engine.

关键词

高阶累积量 / 1.5维谱 / 2.5维谱 / 柴油发动机 / 曲轴轴承 / 故障诊断

Key words

high order cumulation / 1.5 dimension spectrum / 2.5 dimension spectrum / diesel engine / crankshaft bearing / fault diagnosis

引用本文

导出引用
夏天;王新晴;赵慧敏;梁升. 基于高阶累积量的柴油发动机曲轴轴承故障特征提取[J]. 振动与冲击, 2011, 30(1): 77-81
Xia Tian;Wang XinQing;Zhao HuiMin;Liang Sheng . Extracting the Fault Features of Diesel Engine’s Crankshaft Bearing Based on High-order Cumulation[J]. Journal of Vibration and Shock, 2011, 30(1): 77-81

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