An System-Level Fault Probabilistic Diagnosis Algorithm Based on Parallel Group

ZHANG Da-fang; CHEN Xing-hua; XUAN Heng-nong

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An System-Level Fault Probabilistic Diagnosis Algorithm Based on Parallel Group

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- An System-Level Fault Probabilistic Diagnosis Algorithm Based on Parallel Group
- Acta Electronica Sinica Vol. 31, Issue 2, Pages: 180-182(2003)
- 作者机构：
  
  1. 湖南大学计算机与通信学院,湖南,长沙,410082
  2. 南京经济学院计算机系,江苏,南京,210003
  3. 湖南大学计算机与通信学院湖南长沙,410082
  4. 南京经济学院计算机系江苏南京,210003
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP301
- Published：2003
- 稿件说明：
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ZHANG Da-fang, CHEN Xing-hua, XUAN Heng-nong. An System-Level Fault Probabilistic Diagnosis Algorithm Based on Parallel Group[J]. Acta Electronica Sinica, 2003, 31(2): 180-182.
DOI：

ZHANG Da-fang, CHEN Xing-hua, XUAN Heng-nong. An System-Level Fault Probabilistic Diagnosis Algorithm Based on Parallel Group[J]. Acta Electronica Sinica, 2003, 31(2): 180-182. DOI：

摘要

概率诊断算法是系统级故障诊断研究的一个重要方面

本文提出了一种基于并行集团的概率诊断算法-PGSFPD算法

并设计了一个系统级故障诊断软件仿真系统

对诊断算法进行仿真

分析比较各算法的性能

仿真结果表明PGSFPD算法性能优于经典的概率诊断算法-Somani Agrawal算法

可在只需较少测试数的情况下

在保持很高诊断正确率的同时

大大降低系统的规模.

Abstract

Consider a system composed of N nodes that can be faulty or fault-free.The purpose of system-level fault diagnosis is to have each fault-free node determine the state of all nodes of the system.Probabilistic diagnosis algorithm is very important in the system level fault diagnosis research.A system-level fault probabilistic diagnosis algorithm based on parallel group was proposed

PGSFPD algorithm

and the software emulation system of system-level fault diagnosis was presented.Experimental results are given through simulation of the algorithm for large systems of from 200 nodes to 1000 nodes under the emulation system.The results indicate the PGSFPD algorithm has better performance than the Somani Agrawal algorithm

which is a classic probabilistic algorithm in system level fault diagnosis.

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Related Institution

College of SoftwareHunan UniversityChangshaHunan 410082China

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