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Failure prognosis in discrete events systems based on extended Time petri nets: example of an electric car battery cell

机译:基于扩展时间Petri网的离散事件系统中的故障预测:电动汽车电池的示例

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The complexity of critical systems does not tolerate an unplanned stop of attempted functionalities, which destabilizes their operation and causes material and human damage. This makes failure prognosis a requirement that scientific communities are constantly responding to through developing new techniques that reduce the impact of failures on the system. The control of failure events and the system repair date are very important in discrete event systems (DES) area to meet this requirement. Therefore, in the first part of this paper we propose a prognosis approach based on extended Petri Nets (EPN). A technique which makes it possible to determine the occurrence of a future failure event τ - time units in advance. For multi-resource prognosis, we will use several clocks.
机译:关键系统的复杂性不能忍受尝试性功能的计划外停止,这会破坏其运行的稳定性并造成物质和人身伤害。这使得故障预测成为科学界不断通过开发减少故障对系统影响的新技术不断做出响应的要求。在离散事件系统(DES)领域中,故障事件的控制和系统维修日期对于满足此要求非常重要。因此,在本文的第一部分中,我们提出了一种基于扩展Petri网(EPN)的预后方法。一种可以预先确定未来故障事件τ-时间单位的发生的技术。对于多资源预后,我们将使用多个时钟。

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