一类混杂系统多重故障的半定性诊断方法  

Multiple fault diagnosis of hybrid systems based on semi-qualitative method

作　　者：彭昭[1] 王文辉[1] 周东华[1] 

机构地区：[1]清华大学自动化系,北京100084

出　　处：《吉林大学学报（信息科学版）》2004年第4期378-383,共6页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金资助项目(60025307);教育部博点基金资助项目(60234010)

摘　　要：为解决混杂系统中多重故障诊断等分支研究相对薄弱的问题,以一个三容水箱系统为背景,提出了一类混杂系统多重故障的半定性故障诊断方法。该方法使用混杂自动机对系统进行建模,利用混杂串级神经网络跟踪子系统的状态变化,并考虑了故障改变模式顺序的问题。对元件的多重故障进行了仿真研究,结果表明,该方法能够很好地对系统中的多重故障进行诊断,为混杂系统的多重故障诊断提供了新的实用途径,模糊理论在基于半定性方法的多重故障诊断中具有广阔的应用前景。On the basis of a three tank system, a semi-qualitative approach to diagnosis of multiple faults of a class of hybrid systems is proposed. First, the hybrid automata are proposed to model the system behaviors, afterward a cascade model is presented to track subsystem state changes. At the same time, the transforms of different modes are considered. Finally, as an application example, fault detection and diagnosis for a three-tank-system is presented, and the simulation results demonstrate the effectiveness of the proposed approach, which also show that the fuzzy theory has wide application prospect in the semi-qualitative knowledge based fault diagnosis.

关 键 词：混杂系统 多重故障 混杂自动机 模糊集 

分 类 号：TP271.72[自动化与计算机技术—检测技术与自动化装置]