中文摘要：

从D-S证据理论的基本概念和证据的融合推理方法出发，建立了多故障特征信息融合诊断框架，将信息融合思想引入到故障诊断领域，并应用D-S证据理论方法，解决在多传感器条件下的数据融合问题。最后，给出了一个发动机转子多故障信息进行故障诊断的实例，结果表明该方法能够有效的提高诊断可信度，减小诊断的不确定性。

英文摘要：

Starting with the basic conception and evidential fusion reasoning method of Dempster-Sharer evidential theory,multi-fault characteristic information fusion diagnosis frame is constructed. Information fusion is introduced into fault diagnosis field.Appling the Dempster-Shafer evidential theory method,solve the data fusion problems.Finally,an example is present.It is shown that the method is good to improve the reliability of the diagnosis and decrease the uncertainty markedly.