摘要
系统同时发生多个故障时,采用当前技术难以诊断故障原因。本文提出将多传感器数据融合技术应用于多故障同时性诊断的方法。融合中心采用模糊推理技术,并以某加温系统为例说明了该方法的应用过程。经仿真验证,该方法实用、可靠。
It is difficult to specify the failure cause with current technologies in case of multi-faults occurring in a system synchronously. This paper sets forth a method to diagnose synchronous multi-faults, applied with multi-sensors data coalescence technology.With fuzzy reasoning technology applied in coalescence center, the process of applying this method is showed by a heating system.According to the results of emulation, this method is practical and reliable.
出处
《电工技术》
2006年第3期69-70,共2页
Electric Engineering
关键词
数据融合
模糊推理
多故障同时性诊断
Data coalescence Fuzzy reasoning Diagnosis of synchronous multi-faults