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针对电力综合数据网对故障定位的准确性和时效性要求,提出一种交互式故障诊断机制,并重点解决该机制中故障定位集的选取问题,提出一种基于交互式主动探测的故障定位集选择算法(IPCA)。建立电力综合数据网与候选定位集的贝叶斯模型,借助贝叶斯网络条件独立性将候选定位集划分为若干子集,并引入探测价值衡量探测的诊断能力,利用探测价值交互更新过程的子模性降低故障定位集选取的时间复杂度。仿真结果显示,IPCA在确保故障定位准确性的同时平均可缩短20%左右的定位时间。
Aimed at the accuracy and timeliness requirement of fault location in power integrated data network, an interactive fault diagnosis mechanism is proposed and the problem of fault location set selection in this mechanism is put emphasis on. A fault location set based on interactive active detection Selection Algorithm (IPCA). The Bayesian model of electric power integrated data network and candidate positioning set is established. According to Bayesian network condition independence, the candidate positioning set is divided into several subsets, and the probing value is used to measure the diagnostic ability of the detection. The probing value interactive updating process Submodules reduce the time complexity of fault location set selection. The simulation results show that IPCA can shorten the positioning time by about 20% on average while ensuring the accuracy of fault location.