大型重载支承轴的疲劳裂纹时间序列诊断分析  

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

作　　者：李学军[1] 宾光富[1] 王裕清[2] 

机构地区：[1]湖南科技大学振动冲击与诊断研究所,湖南湘潭411201 [2]河南理工大学机械工程系,河南焦作454000

出　　处：《中国工程科学》2006年第4期50-53,93,共5页Strategic Study of CAE

基　　金：湖南省自然科学基金重点资助项目(05JJ20012);湖南省教育厅重点科研计划资助项目(03A052);湖南省重点实验室专项资助项目(01JZY2057-01)

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σ2a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σ2a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。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 （ σ^2/a ） and normal residue square sum （NRSS） arc 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 σ^2/a 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 

分 类 号：TQ172[化学工程—水泥工业]