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Contribution onto Prognosability Based on Discrete Events Systems

机译:基于离散事件系统的可预测性贡献

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Developing a method of prognosis, allows to avoid any accidental stop of the system, by predicting the future failure occurrence. Which makes it possible to preserve performance, availability and safety of both operators and equipment. To strengthen this technique, various research works have developed the prognosability, as a necessary and sufficient condition for prediction of a failure without missed detection and false alarm. This paper is a continuation of the works that has been realized on the prognosis of failure on extended Petri Net (PN) based on discrete events systems (DES); a prognostic method based on time, to predict the future failure occurrence at the earliest and at the latest. The aim is to prove that prognosability is possible on extended PN, while respecting these necessary and sufficient conditions.
机译:开发一种预测方法,可以通过预测将来发生的故障来避免系统的意外停机。这样可以保持操作员和设备的性能,可用性和安全性。为了加强该技术,各种研究工作已经开发出可预见性,作为预测故障而不漏检和误报警的必要和充分条件。本文是对基于离散事件系统(DES)的扩展Petri网(PN)的故障预后所做的工作的延续;一种基于时间的预测方法,可以尽早预测未来发生的故障。目的是证明在扩展PN的同时也要考虑这些必要条件和充分条件,从而具有可预测性。

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