Fault prognosis of timed stochastic discrete event systems with bounded estimation error

被引：23

作者：

Ammour, Rabah ^{[1
]}

Leclercq, Edouard ^{[1
]}

Sanlaville, Eric ^{[2
]}

Lefebvre, Dimitri ^{[1
]}

机构：

[1] Normandie Univ, UNIHAVRE, GREAH, F-76600 Le Havre, France

[2] Normandie Univ, UNIHAVRE, LITIS, F-76600 Le Havre, France

来源：

AUTOMATICA | 2017年 / 82卷

关键词：

Discrete-event systems; Fault prognosis; Stochastic Petri nets;

D O I：

10.1016/j.automatica.2017.04.028

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article deals with the problem of fault prognosis in timed stochastic discrete event systems. For that purpose, partially observed stochastic Petri nets are considered to model the system with its sensors. The model represents both healthy and faulty behaviors of the system. Using a timed measurement sequence issued from the sensors, an approach denoted (rho, delta)-prognosis is proposed to estimate the probability of a future fault occurrence. The method is based on two input parameters: the error bound rho and the prognosis horizon delta. The main contribution is to bound the estimation error by rho when the prognosis horizon does not exceed delta. An example is presented to illustrate the results. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：35 / 41

页数：7

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