CAJ | 학술논문

为解决大规模复杂系统故障诊断中计算复杂性高的问题，提出一种基于 Petri网的在线故障诊断方法。首先，建立诊断对象的规范Petri网模型；其次，提出模型的严格最小库所不变量和特征库所不变量集合，并借助特征库所不变量集合描述Petri网模型的结构信息；最后，基于特征库所不变量集合提出任意当前标识的故障函数，并利用故障诊断函数完成故障识别和定位。结果表明：该故障诊断方法采用了系统结构信息，无需遍历系统状态空间，具有多项式级的计算复杂性，能够满足实时性要求。
위해결대규모복잡계통고장진단중계산복잡성고적문제，제출일충기우 Petri망적재선고장진단방법。수선，건립진단대상적규범Petri망모형；기차，제출모형적엄격최소고소불변량화특정고소불변량집합，병차조특정고소불변량집합묘술Petri망모형적결구신식；최후，기우특정고소불변량집합제출임의당전표식적고장함수，병이용고장진단함수완성고장식별화정위。결과표명：해고장진단방법채용료계통결구신식，무수편력계통상태공간，구유다항식급적계산복잡성，능구만족실시성요구。
For fault diagnosis in large complex systems,a on-line fault diagnose method is proposed to solve the problem of high computational complexity.First,modeled a Petri net model.Secondly,proposed the strict minimal place-invariant and the set of characteristic place-invariant,so that might describe the structure information of Petri net model.Finally, based on the set of characteristic place-invariants,the failure function for any current marking is proposed.And then,uti-lized this failure function to diagnose and locate the faults.The result shows that this fault diagnosis method with the structure information dose not need traverse all states space of system.Furthermore,this method is with the computa-tional complexity of polynomial,which makes this method meet the real time requirements.