故障模糊诊断方法及其应用

现代系统一般都采用模块化设计,功能层次比较明显,利用这种功能特点可加速系统的故障诊断。据此,综合层次法和模糊识别法,本文给出了一种基于层次分析和模糊识别的故障诊断方法。该方法根据系统功能特点划分故障模块,使故障具有一定的层次结构,从而加速了故障的定位;再结合模糊识别法进行故障定位,有效地解决了故障状态识别的不确定性问题。最后结合实例分析,验证了此方法的有效性,并具有故障诊断快速、准确的特点。

Research on fault diagnosis method base on Fuzzy identification

Modern system is generally designed based on modularization, which has obvious function hiberarchy. Thus, this characteristic can be used to fault diagnosis. Hereby, A fault diagnosis method based on hierarchical and fuzzy recognition is given. This method plots out fault modules according to the functions of a system, and fixes on fault using fault recognition. Fuzzy mathematic theory solves the problem of uncertainty for fault recognition, which a certain extent enhances the veracity of fault diagnosis. A instance is analyzed and proves that this method is used for complex system, which has characters of rapidity and nicety.