基于信息相关熵的D-S证据理论在故障诊断中的应用

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering Pub Date : 2012-06-15 DOI:10.1109/ICQR2MSE.2012.6246248

Hanqing Zhu, Zhenshu Ma, H. Sun, Haoyi Wang

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引用次数: 3

摘要

基于Dempster-Shafer (D-S)证据理论的多传感器信息融合(MSIF)在故障诊断中具有重要作用。针对经典证据理论存在的问题，本文引入信息相关熵理论，提出了一种改进的D-S证据理论。然后，将该方法应用于齿轮箱故障诊断。实验分析结果表明，新方法对MSIF是有效的。

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Information correlation entropy based D-S evidence theory used in fault diagnosis

Dempster-Shafer (D-S) evidence theory based multi-sensor information fusion (MSIF) plays an important role in fault diagnosis. Aiming to solve the problems via classical evidence theory, an improved D-S evidence theory through the introduction of information correlation entropy theory is reported in this paper. Then, the proposed method is employed to gearbox fault diagnosis. Experiment analysis results indicate that the new method is effective for MSIF.

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2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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