基于概率标签Petri网的随机离散事件系统故障预测

程琰; 刘富春

doi:10.12052/gdutxb.240158

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基于概率标签Petri网的随机离散事件系统故障预测

控制科学与工程 | 更新时间：2026-05-27

- 基于概率标签Petri网的随机离散事件系统故障预测
- Fault Predictability of Stochastic Discrete Event Systems Based on Probabilistic Labeled Petri Nets
- 广东工业大学学报 2025年42卷第2期页码：52-58
- 作者机构：
  
  广东工业大学计算机学院,广东,广州,510006
- 作者简介：
  
  程琰(1999–) ，男，硕士研究生，主要研究方向为控制理论与控制工程、算法分析与设计，E-mail：1148393704@qq.com
  刘富春(1971–) ，男，教授，博士生导师，博士，主要研究方向为控制理论与控制工程、算法分析与设计，E-mail：fliu2011@163.com
- 基金信息：
  
  国家自然科学基金资助项目(61673122);广东省自然科学基金资助项目(2023A1515012783)
- DOI：10.12052/gdutxb.240158
  中图分类号： TP273
- 纸质出版：2025
- 稿件说明：
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程琰, 刘富春. 基于概率标签Petri网的随机离散事件系统故障预测[J]. 广东工业大学学报, 2025, 42(2): 52–58.

Cheng Yan, Liu Fuchun. Fault Predictability of Stochastic Discrete Event Systems Based on Probabilistic Labeled Petri Nets[J]. 2025, 42(2): 52-58.
程琰, 刘富春. 基于概率标签Petri网的随机离散事件系统故障预测[J]. 广东工业大学学报, 2025, 42(2): 52–58. DOI： 10.12052/gdutxb.240158

Cheng Yan, Liu Fuchun. Fault Predictability of Stochastic Discrete Event Systems Based on Probabilistic Labeled Petri Nets[J]. 2025, 42(2): 52-58. DOI： 10.12052/gdutxb.240158.

摘要

本文研究基于概率标签Petri网的随机离散事件系统故障预测，旨在通过引入带概率标签的Petri网模型，提高故障预测的精确度。通过定义边界标识和非指示标识，本文提出了一种基于概率标签Petri网的故障预测方法，该方法能在故障发生前识别一个非故障前缀，以确保在有限步内及时准确地发出故障警报。通过构造一个验证器，将故障可预测性的验证问题转变为可有效解决的模型检验问题，并得到关于随机离散事件系统故障可预测性的充分必要条件。本文提出的基于概率标签Petri网的故障预测方法，为随机离散事件系统的故障预测提供了一种新的视角，有助于在实际应用中提高系统的可靠性和安全性。

Abstract

In this research

a fault prognosis method for stochastic discrete event systems (SDES) is presented using probabilistic labeled Petri nets (PLPN) . The goal is to enhance the accuracy of fault prognosis by using a Petri net model with probabilistic labels. Boundary and non-indicative markings are defined to develop this method. It can identify non-fault prefixes before faults occur

ensuring timely and accurate fault warnings within a limited number of steps. A verifier is constructed to transform the verification of fault predictability into a solvable model checking problem. This process yields a sufficient and necessary condition for the fault predictability of SDES. The proposed method offers a new perspective for fault prediction in SDES

enhancing system reliability and safety in practical applications.

关键词

Keywords

references

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