基于改进证据理论的故障诊断方法研究及应用

刘希亮;陈桂明;李方溪;张 倩;罗显廷

振动与冲击 ›› 2013, Vol. 32 ›› Issue (18) : 54-58.

PDF(965 KB)
PDF(965 KB)
振动与冲击 ›› 2013, Vol. 32 ›› Issue (18) : 54-58.
论文

基于改进证据理论的故障诊断方法研究及应用

  • 刘希亮,陈桂明,李方溪,张 倩,罗显廷
作者信息 +

Research on Fault Diagnosis and Its Application Basedon Improved Evidence Theory

  • LIU Xi-liang,CHEN Gui-ming,LI Fang-xi,ZHANG Qian,LUO Xian-ting
Author information +
文章历史 +

摘要

针对传感器证据信息全局修正针对性不强及冲突证据无法判别等问题,提出基于改进证据理论的故障诊断方法。利用冲突证据判据判断可信证据与冲突证据,保留可信证据,通过可信度对冲突证据进行针对性修正。该判断及局部修正可降低传感器证据信息的不确定性,并减弱冲突信息对合成结果影响。结合神经网络建立特征空间到证据空间的映射,有效利用网络输出结果,通过信息熵构建原始证据。将所有证据用改进D-S公式合成。通过齿轮泵早期故障试验,与神经网络及其它证据合成方法对比表明,该方法诊断精度较高,从而验证了融合方法的有效性。

Abstract

Aiming at the problem that full modification of sensor’s evidence has infirm pertinence and fails to distinguish conflict evidence, a fault diagnosis approach based on improved evidence theory is proposed. Similar evidence and conflict evidence are recognized by means of conflict evidence criterion. Similar evidence is reserved, while conflict evidence is modified in virtue of similitude. This method can reduce the uncertainty of evidence information of sensors and decrease the effect of conflict towards combination results. Then neural network builds up the mapping from characteristic space to evidence space, and the results are used to construct original evidence by way of information entropy. Finally, all the evidence is combined in improved D-S formula. The gear pump’s early fault test proves that new approach has higher diagnosis precision by contrast with neural network and other combination methods.

关键词

证据理论 / 冲突证据 / 信息融合 / 故障诊断

Key words

evidence theory / conflict evidence / information fusion / fault diagnosis

引用本文

导出引用
刘希亮;陈桂明;李方溪;张 倩;罗显廷. 基于改进证据理论的故障诊断方法研究及应用[J]. 振动与冲击, 2013, 32(18): 54-58
LIU Xi-liang;CHEN Gui-ming;LI Fang-xi;ZHANG Qian;LUO Xian-ting. Research on Fault Diagnosis and Its Application Basedon Improved Evidence Theory[J]. Journal of Vibration and Shock, 2013, 32(18): 54-58

PDF(965 KB)

Accesses

Citation

Detail

段落导航
相关文章

/