Maintenance techniques for an intelligent alarm processing system

被引:0
|
作者
Sauvé, JP
Neto, ER
Cirne, W
Duarte, AN
Figueiredo, JCA
Sampaio, MC
Nicolletti, PS
de Araújo, AS
Cavalcante, MD
机构
[1] Univ Fed Campina Grande, Campina Grande, PB, Brazil
[2] CHESF Recife, Recife, PE, Brazil
关键词
intelligent processing systems; knowledge-based systems; system maintenance; power systems;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large and complex systems (such as computer networks and power transmission systems) are difficult to operate and manage. Even when good remote managing capabilities are available, emergency situations prompt "alarm avalanches" that make diagnosis more difficult. This situation has prompted the development of intelligent alarm processing systems (IAP systems). Although it has been shown that IAP systems can be highly effective, most of them fail in practice due to the maintenance burden. In fact, most IAP systems require maintenance whenever the underlying monitored system changes. This paper presents the simplification and enhancement in maintainability of IAP systems made possible by separating topological information from the knowledge base (referred to as topology rule base). We investigate this idea in the context of a power transmission system, submitting to the same maintenance operations both a topology rule base IAP system and an identical traditional production system (i.e., one without topological information and with a topology-specific rule base). Our results confirm that the topology rule base substantially curtails the effort expended for typical maintenance procedures. Additionally, field experience in debugging an IAP system is described and the quality of the final system is characterized.
引用
收藏
页码:213 / 222
页数:10
相关论文
共 50 条
  • [31] An intelligent system for maintenance management
    Garcia Marquez, Fausto Pedro
    Chacon Munoz, Jesus Miguel
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2010, : 12 - 18
  • [32] Intelligent Maintenance Recommender System
    Al-Najim, Abdullatif
    Al-Amoudi, Abrar
    Ooishi, Kenji
    Al-Nasser, Mustafa
    2022 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MACHINE LEARNING APPLICATIONS (CDMA 2022), 2022, : 212 - 218
  • [33] AN ALARM PROCESSING SYSTEM FOR A NUCLEAR-POWER-PLANT USING ARTIFICIAL-INTELLIGENCE TECHNIQUES
    YANG, JO
    CHANG, SH
    NUCLEAR TECHNOLOGY, 1991, 95 (03) : 266 - 271
  • [34] Intelligent processing techniques for sensor fusion
    Byrd, K
    Smith, B
    Allen, D
    Morris, N
    Bjork, C
    Deal-Giblin, K
    SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS II, 1998, 3376 : 2 - 15
  • [35] An Intelligent Fire Alarm System Based on GSM Network
    Wang, Yue-jiao
    Ren, Xiao-kui
    COMMUNICATIONS AND INFORMATION PROCESSING, PT 2, 2012, 289 : 232 - +
  • [36] Intelligent Alarm System applied to Continuous Pharmaceutical Manufacturing
    Gupta, Anshu
    Giridhar, Arun
    Reklaitis, Ginataras V.
    Venkatasubramanian, Venkat
    23 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2013, 32 : 499 - 504
  • [37] Realization of Intelligent Alarm System for District Power Network
    Ming, Jiao
    Yang, Honggeng
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [38] Design of Intelligent Alarm System Based on GSM Network
    Xu, Shun Qing
    MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3, 2013, 373-375 : 1578 - 1582
  • [39] Modelling a distributed fusion system for intelligent alarm analysis
    Shalinie, S.M.
    2002, Institution of Engineers (India) (82):
  • [40] Study on Intelligent Alarm System for Gas Concentration Detection
    He, Juan
    Kang, Shuai
    Luo, Guang-yi
    PROCEEDINGS OF THE 2016 INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION, 2016, 47 : 635 - 639