基于两步a *搜索法的强故障模型诊断

Qi Zhao, Wenfeng Zhang, Yuhao Deng, Hongbo Zhao, W. Feng
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引用次数: 0

摘要

针对不存在故障模式行为的弱故障模型,已有许多基于模型的诊断研究,如冲突导向A*搜索。然而,在现实世界中,常见故障模式的行为通常是已知的。在这种情况下,建立强断层模型。与弱故障模型相比,强故障模型的模态空间更大且非单调,因此较难诊断。为了有效诊断强故障模型,本文提出了一种基于冲突定向a *搜索的两步a *搜索方法。在我们的方法中,模型、观测值和模型的一致性通过基于假设的真值维护系统来检验,该系统在故障发生时产生多个冲突集。然后分别完成故障隔离和故障识别:首先,根据真值维护系统的冲突集对可能出现故障的部件进行隔离;然后对故障部件的不同模态组合进行测试,得到具体的故障模态。正如名称所示,在这两个步骤中都使用了*搜索。通过将隔离和鉴定分两个阶段进行,存储器和时间要求显著降低。在案例研究中,利用一个热控制系统来演示所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosing Strong-fault Models with a Two-step A* Search Method
Many model-based diagnosis researches, such as conflict directed A* search, have been made on weak-fault models, which have no fault mode behavior. However, in the real world, behaviors of common fault modes are usually known. In this situation, strong-fault models are built. Compared with weak-fault models, it is difficult to diagnose strong-fault models because their mode space is greater and non-monotonic. To diagnose strong-fault models efficiently, this paper proposes a two-step A* search, based on the conflict directed A* search. In our method, the consistency over modes, observations and models, is tested by assumption-based truth maintenance system, which generates multiple conflict sets if a fault occurs. Then fault isolation and identification are accomplished separately: firstly, possibly faulty components are isolated based on the conflict sets from the truth maintenance system; then different mode combinations of the faulty components are tested to obtain the specific fault modes. A* search is employed in both steps, as indicated by the name. By separating isolation and identification in two stages, memory and time requirements are reduced significantly. In the case study, a heat control system is utilized to demonstrate the proposed approach.
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