大型重载支承轴的疲劳裂纹时间序列诊断分析

李学军,宾光富,王裕清

中国工程科学 ›› 2006, Vol. 8 ›› Issue (4) : 50 -53.

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中国工程科学 ›› 2006, Vol. 8 ›› Issue (4) : 50 -53.
学术论文

大型重载支承轴的疲劳裂纹时间序列诊断分析

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Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts

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摘要

大型重载支承轴隐蔽部位由于发生不可观测的突发性疲劳断裂,严重影响正常生产,给企业带来重大经济损失;分析这类支承轴的结构特点与振动信号特征之间的关系,运用时序分析方法对振动信号进行建模,并采用残差σa2和归一化残差平方和NRSS作为识别疲劳裂纹状态的特征指标,有效诊断出了支承轴的疲劳裂纹程度。实验结果表明,采用σa2和NRSS作为特征指标的时序分析方法对大型重载支承轴隐蔽部位的疲劳裂纹状态进行诊断,比常规的时频幅值特征分析法更为敏感有效、简便易行,且具备很强的实用性。

Abstract

Because of the unobserved sudden fatigue failure of the large-scale and heavyburden supporting shafts, the normal product line is affected seriously. Based on analyzing the relation ship between this type of supporting shafts construction characteristics and vibration signal characteristic, the model of the vibration signal is established by the method of time series.Residual (σa2) and normal residue square sum (NRSS) are adopted to identify the fault state, and the degree of supporting shafts' fatigue crack is diagnosed effectively.The result of experiment shows that the method of time series using σa2 and NRSS as the index to diagnose the fatigue crack of large-scale and heavyburden supporting shafts is more sensitive and effective than the normal method using time-frequency domain of amplitude, and has very strong practicability.

关键词

大型重载 / 支承轴 / 隐蔽部位 / 疲劳裂纹 / 时间序列

Key words

large-scale and heavyburden machine / supporting shaft / concealment part / fatigue crack / time series

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李学军,宾光富,王裕清 大型重载支承轴的疲劳裂纹时间序列诊断分析[J]. 中国工程科学, 2006, 8(4): 50-53 DOI:

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