信息融合技术在汽车ABS系统故障诊断中的应用

Application of Information Fusion Technique in Fault Diagnosis of ABS

针对汽车电控系统故障诊断的复杂性,提出用多传感器信息融合技术来解决该问题的思路。研究了一种决策层信息融合方法(Dempster-Shafer证据推理法)在汽车防抱死系统故障诊断中的应用,并详细介绍了在此实例中的故障识别框架的建立、mass函数的确定、证据合成等内容。结果表明,基于Dempster-Shafer证据推理的决策层信息融合方法能够准确、有效地诊断出ABS系统故障所在的部位。

This paper Aims at the complexity in fault diagnosis of automotive electronic control system,a new idea to resolve this problem using multl-sensor information fusion technique is presented.Application of one decision level information fusion method （Dempster-Shafer Evidence Theory） in fault diagnosis of ABS is studied, and recounts the fault diagnosis identification framework,the establishment of mass function,evidence compose and etc in this instance.The result shows that decision level fusion based on I）empster-Shafer Evidence Theory can diagnose the fault part exact and effective.