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Diagnostic and prognostic of hybrid dynamic systems: Modeling and RUL evaluation for two maintenance policies

机译：混合动力系统的诊断和预后：两种维护策略的建模和RUL评估

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摘要

In the industrial sector, maintenance plays a very important role in carrying out production by increasing system reliability and availability. Thee maintenance decision is based primarily on diagnostic modules, prognostics and decision support. Diagnostic consists of detection and isolation of faults, while prognostic consists of prediction of the remaining useful life of systems. Moreover, recent industrial systems are naturally hybrid: their dynamic behavior is both continuous and discrete. This paper presents an integrating architecture of diagnostic and prognostic in a hybrid dynamic system. Indeed, the diagnostic system is based on controlling task execution times during system operation. This method is based on a general modeling approach using hybrid automata. The model proposed is detailed by studying a two-tank system. To validate the model, a Stateflow controller is used. These failures are anticipated by a prognostics process based on a prediction of the remaining life for each component by taking maintenance policy into account. Two new methods are compared: ABAO (As Bad As Old) and AGAN (As Good As New), based on the type of repair strategy.
机译：在工业领域，维护通过提高系统可靠性和可用性在生产中起着非常重要的作用。维护决策主要基于诊断模块，预测和决策支持。诊断包括检测和隔离故障，而预测则包括预测系统的剩余使用寿命。此外，最近的工业系统自然是混合的：它们的动态行为既连续又离散。本文提出了一种混合动力系统中诊断和预后的集成架构。实际上，诊断系统基于控制系统运行期间任务的执行时间。该方法基于使用混合自动机的通用建模方法。通过研究两罐系统详细介绍了提出的模型。为了验证模型，使用了Stateflow控制器。通过考虑维护策略，通过预测过程可以预测每个组件的剩余寿命，从而预测这些故障。根据修复策略的类型，比较了两种新方法：ABAO（与旧时一样坏）和AGAN（与新时一样好）。

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  • 来源
    《Reliability Engineering & System Safety》 |2017年第8期|98-109|共12页
  • 作者

    Belkacem Lobna; Simeu-Abazi Zineb; Dhouibi Hedi; Gascard Eric; Messaoud Hassani;

  • 作者单位

    Univ Monastir, LARATSI Lab, Natl Engn Sch Monastir, Monastir, Tunisia;

    Univ Grenoble Alpes, CNRS, G SCOP, F-3800 Grenoble, France;

    Univ Monastir, LARATSI Lab, Natl Engn Sch Monastir, Monastir, Tunisia;

    Univ Grenoble Alpes, CNRS, G SCOP, F-3800 Grenoble, France;

    Univ Monastir, LARATSI Lab, Natl Engn Sch Monastir, Monastir, Tunisia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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