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Mixed approach for fault diagnosis and fault location of hybrid systems

机译:混合系统故障诊断和故障定位的混合方法

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Today, the fault diagnosis remains a very important task due to its essential role in improving the dependability and also in minimizing the harmful consequences which can be catastrophic for equipment and human safety. This article proposes a diagnostic approach for hybrid systems through the use of Bond Graph and observers well known in continuous field, coupled to timed automata well used in the field of discrete events systems. Indeed, for a complex system, the Bond Graph allows modeling of multi-energy physical processes. The observer-based approach is used to generate dynamic models (in normal and in failing mode). The fault detection algorithm consists mainly in comparing the real measures of the system with measures estimated by an observer. Thus, the fault isolation procedure consists in analyzing the fault signature matrix. Timed automata allow to take into account the dynamic evolution of the system and the failures propagation. To refine the failure location, a diagnoser based on timed automaton is built. The proposed approach is validated by simulation tests in a hydraulic system with two tanks.
机译:如今,由于故障诊断在提高可靠性以及最小化可能对设备和人类安全造成灾难性影响的有害后果方面发挥着至关重要的作用,因此故障诊断仍然是一项非常重要的任务。本文提出了一种通过使用Bond Graph和在连续领域中众所周知的观察者,以及在离散事件系统领域中广泛使用的定时自动机,对混合系统进行诊断的方法。实际上,对于复杂的系统,键合图允许对多能量物理过程进行建模。基于观察者的方法用于生成动态模型(正常模式和故障模式)。故障检测算法主要包括将系统的实际度量与观察者估计的度量进行比较。因此,故障隔离过程在于分析故障特征矩阵。定时自动机可以考虑系统的动态演变和故障传播。为了优化故障位置,构建了基于定时自动机的诊断程序。该方法通过在具有两个油箱的液压系统中的仿真测试得到了验证。

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