Failure Point Estimation Using Rule-based Learning

被引：0

作者：

Murata, Naomi ^{[1
]}

Asai, Fumika ^{[1
]}

Yakawa, Taisuke ^{[1
]}

Suzuki, Satoshi ^{[1
]}

Oishi, Haruo ^{[1
]}

Inoue, Akira ^{[1
]}

机构：

[1] Access Network Operation Project, NTT Access Network Service Systems Laboratories

来源：

NTT Technical Review | 2019年 / 17卷 / 07期

关键词：

Computer networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

NTT Access Network Service Systems Laboratories aims to achieve smart and advanced network operations supporting the digital transformation of the NTT Group. This article introduces a means of failure point estimation using rule-based learning that immediately presents potential failure points at the time of a failure. This estimation technique is based on technology for autonomously deriving cause-and-effect relationships (rules) between failure points and alarms. © 2019 Nippon Telegraph and Telephone Corp.. All rights reserved.

引用

页码：14 / 16

共 50 条

[1] A Review of Orientation Estimation Algorithms for AHRS Using Rule-based Filtering and Machine Learning
Lee, Chang June
Lee, Jung Keun
[J]. Journal of Institute of Control, Robotics and Systems, 2024, 30 (05) : 511 - 523
[2] Rule-Based Estimation of Attribute Relevance
Blaszczynski, Jerzy
Slowinski, Roman
Susmaga, Robert
[J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2011, 6954 : 36 - 44
[3] Estimation of Machining Sustainability Using Fuzzy Rule-Based System
Iqbal, Asif
Zhao, Guolong
Cheok, Quentin
He, Ning
[J]. MATERIALS, 2021, 14 (19)
[4] Intrusion Detection Using Rule-Based Machine Learning Algorithms
Kshirsagar, Deepak
Shaikh, Jahed Momin
[J]. 2019 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA), 2019,
[5] Learning Rule Parameters of Possibilistic Rule-Based System
Baaj, Ismail
[J]. 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2022,
[6] Visualizations for rule-based machine learning
Liu, Yi
Browne, Will N.
Xue, Bing
[J]. NATURAL COMPUTING, 2022, 21 (02) : 243 - 264
[7] Integrated Rule-Based Learning and Inference
Hatzilygeroudis, Ioannis
Prentzas, Jim
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2010, 22 (11) : 1549 - 1562
[8] LEARNING BY BUILDING RULE-BASED MODELS
WEBB, M
[J]. COMPUTERS & EDUCATION, 1992, 18 (1-3) : 89 - 100
[9] Visualizations for rule-based machine learning
Yi Liu
Will N. Browne
Bing Xue
[J]. Natural Computing, 2022, 21 : 243 - 264
[10] Scalability in fuzzy rule-based learning
Sudkamp, T
Hammell, RJ
[J]. INFORMATION SCIENCES, 1998, 109 (1-4) : 135 - 147

← 1 2 3 4 5 →