带延迟观测的部分可观测离散事件系统中的故障诊断与预测
Fault Diagnosis and Prognosis in Partially-Observed Discrete Event Systems with Delayed Observations
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中文总结 AI 辅助
针对带延迟观测的部分可观测离散事件系统，提出修正可预测性概念的诊断与预测条件，引入延迟观测器与新验证函数，验证了该方法的有效性。
中文摘要 AI 辅助
研究离散事件系统中观测值可能存在延迟的场景下的故障诊断与预测问题。针对该场景，提出了带延迟观测的诊断与预测的两个条件，研究表明需修正当前最先进的可预测性概念以避免保守性。通过引入延迟观测器和新的验证函数，对可诊断性与可预测性条件进行验证。理论分析表明，该验证方法对系统故障诊断与预测具有有效性。
英文摘要
Fault diagnosis and prognosis in discrete event systems are studied in the scenario where the observations are possibly received with delay. To address this scenario, two conditions for diagnosis and prognosis with delayed observations are proposed, where we show that the state-of-the-art notion of prognosability must be revised to avoid conservativeness. Diagnosability and prognosability conditions are then verified by introducing a delay observer and a new verification function. Theoretical analysis indicates the effectiveness of the verification method for fault diagnosis and prognosis in the system.
