.png){kind=icon}
返回
A novel fault propagation path identification inference algorithm using parent nodes filter
.png){kind=icon}
PRE
AI
DOI：10.1007/s41060-019-00202-3.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Bayesian network (BN), which is an effective probabilistic graphical model with strong characteristics of practicality and applicability, is often used for real-world faults diagnosis. However, most of the existing BN-based studies merely analyze how to diagnose root cause and do not have the capability of identifying fault propagation path. To address this problem, a novel Gaussian Bayesian network-based faults propagation path identification inference algorithm using parent nodes filter is proposed. For a specific fault node, the set of its parent nodes is firstly reduced according to parameter weights and value fluctuations. Then estimates of the maximum conditional probability for possible subsets of reduced parent set are computed based on decomposition of conditional probability and dichotomy. After estimation, the most probable cause can be determined by the closest estimate to actual value. Through such layer-by-layer inference, fault propagation paths in the network can be finally tracked. Experimental results have demonstrated that the novel approach is capable of identifying fault propagation paths effectively, which provides higher adaptability and faster speed.
Keyword:
Fault propagation path
Gaussian Bayesian network
Parent nodes filter
Set reduction
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
2.8
论文数:
1.1K
被引数:
1.3K
机构
引用论文
Dynamic Bayesian Networks for Fault Detection, Identification, and Recovery in Autonomous Spacecraft用于自主航天器故障检测，识别和恢复的动态贝叶斯网络
PREAI
分享收藏Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network基于多源信息融合的贝叶斯网络地源热泵故障诊断.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel-Induced Pipeline DamageRISK ANALYSIS
RISK ANALYSISIF3.3
PREAI
分享收藏
查看更多内容