BR-PlantExpert: A Rule-Based Expert System for Operation Support in Industrial Processes

被引：0
|
作者：
de Souza, Danilo Curvelo [1 ]
Doria Neto, Adriao Duarte [1 ]
机构：
[1] Univ Fed Rio Grande do Norte, Dept Comp Engn, BR-59072970 Natal, RN, Brazil
来源：
2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA) | 2014年
关键词：
expert system; rules; industrial informatics; alarm supression; intelligent automation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a tool that integrates techniques and features to improve the efficiency and effectiveness of the diagnosis and its consequent decision action in industrial processes. The present tool is based on a rule-based expert system that can process online data of process variables, alarms and events for operation support. The proposed system, called BR-PlantExpert, is designed to act as a support operation screen, providing the operator with additional information that may be considered important in critical situations. Despite its wide range of possible applications, this paper focuses only in the context of real-time filtering of alarms during the operation.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] R-SA: A Rule-based Expert System for Sentiment Analysis
    Yenkikar, Anuradha
    Babu, Narendra
    Sangve, Suni, I
    2019 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON), 2019,
  • [22] Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control
    Zolnoori, Maryam
    Zarandi, Mohammad Hosain Fazel
    Moin, Mostafa
    Taherian, Mehran
    JOURNAL OF MEDICAL SYSTEMS, 2012, 36 (05) : 2947 - 2958
  • [23] A RULE-BASED EXPERT SYSTEM FOR STEADY-STATE STABILITY ANALYSIS
    HSU, YY
    SU, CC
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1991, 6 (02) : 771 - 777
  • [24] Rule-Based Expert System for Service Restoration in Distribution Automation Systems
    Chen, C. S.
    Lin, C. H.
    Ku, T. T.
    Kang, M. S.
    Ho, C. Y.
    Chen, C. F.
    2012 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2012,
  • [25] PARALLEL ELECTROOPTICAL RULE-BASED SYSTEM FOR FAST EXECUTION OF EXPERT SYSTEMS
    LOURI, A
    NA, JW
    APPLIED OPTICS, 1993, 32 (11): : 1863 - 1875
  • [26] Verification of a Rule-Based Expert System by Using SAL Model Checker
    Siregar, Maria Ulfah
    Abriani, Sayekti
    2019 3RD INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS 2019), 2019,
  • [27] A RULE-BASED APPROACH FOR DESIGNING AN EXPERT SYSTEM FOR THE PLANNING OF PENSION FUNDS AUDIT
    Buzenche , Simona
    Vilsanoiu, Daniel
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ACCOUNTING AND MANAGEMENT INFORMATION SYSTEMS (AMIS 2013), 2013, : 1061 - 1074
  • [28] Fuzzy rule-based expert system for short-range seismic prediction
    Klose, CD
    COMPUTERS & GEOSCIENCES, 2002, 28 (03) : 377 - 386
  • [29] Research On A Type of Rule-based Expert System Approach for Music Emotion Cognition
    Wang, Jijun
    Lin, Chengdong
    Wang, Yiyi
    2012 THIRD INTERNATIONAL CONFERENCE ON THEORETICAL AND MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE (ICTMF 2012), 2013, 38 : 587 - 593
  • [30] Fuzzy Clustering Rule-Based Expert System for Stock Price Movement Prediction
    Shakeri, Behnoush
    Zarandi, M. H. Fazel
    Tarimoradi, Mosahar
    Turksan, I. B.
    2015 Annual Meeting of the North American Fuzzy Information Processing Society DigiPen NAFIPS 2015, 2015,
12345