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A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series

Xiaoliang Wang Faming Lu MengChu Zhou Qingtian Zeng

自动化学报（英文版）2026，Vol.13Issue(5)：1054-1067,14.

自动化学报（英文版）2026，Vol.13Issue(5)：1054-1067,14.DOI:10.1109/JAS.2026.125837

A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series

Xiaoliang Wang ¹Faming Lu ²MengChu Zhou ³Qingtian Zeng²

作者信息

1. College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590||School of Information Science and Technology,Taishan University,Taian 271000,China
2. College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China
3. Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA||Macao Institute of Systems Engineering,Macau University of Science and Technology,Macao 999078,China
折叠

摘要

关键词

Bayesian network(BN)/knowledge mining/multi-variate time series/Petri net(PN)/root cause analysis(RCA)/synergy effect

Key words

Bayesian network(BN)/knowledge mining/multi-variate time series/Petri net(PN)/root cause analysis(RCA)/synergy effect

引用本文复制引用

Xiaoliang Wang,Faming Lu,MengChu Zhou,Qingtian Zeng..A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series[J].自动化学报（英文版）,2026,13(5):1054-1067,14.

基金项目

This work was supported by the National Science and Technology Major Project of China(2022ZD0119501),the Science and Technology Development Fund of Shandong Province(ZR2022MF288,ZR2023MF097),and the Fundo para o Desenvolvimento das Ciências e da Tecnologia(0047/2021/A1). （2022ZD0119501）

自动化学报（英文版）

ISSN：2329-9266

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