Key Performance Indicators Relevant Fault Diagnosis and Process Control Approaches for Industrial Applications

被引：12
|
作者：
Yin, Shen [1 ]
Wang, Yongqiang [2 ]
Wang, Guang [3 ]
Khan, Abdul-Qayyum [4 ]
Haghani, Adel [5 ]
机构：
[1] Harbin Inst Technol, Harbin, Heilongjiang, Peoples R China
[2] Clemson Univ, Clemson, SC USA
[3] Bohai Univ, Jinzhou, Liaoning, Peoples R China
[4] Pakistan Inst Engn & Appl Sci, Islamabad, Pakistan
[5] Univ Rostock, Rostock, Germany
来源：
JOURNAL OF CONTROL SCIENCE AND ENGINEERING | 2018年 / 2018卷
关键词：
D O I：
10.1155/2018/5910696
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [1] An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
    Precup, Radu-Emil
    Angelov, Plamen
    Jales Costa, Bruno Sielly
    Sayed-Mouchaweh, Moamar
    [J]. COMPUTERS IN INDUSTRY, 2015, 74 : 75 - 94
  • [2] Decision theory on key-performance-indicator-based process monitoring and fault diagnosis approaches
    Zhou, Hao
    Ma, Hengbo
    Shen, Xinrui
    [J]. 2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017), 2017, : 438 - 443
  • [3] Key performance indicators improve industrial performance
    Lindberg, Carl-Fredrik
    Tan, SieTing
    Yan, JinYue
    Starfelt, Fredrik
    [J]. CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE, 2015, 75 : 1785 - 1790
  • [4] Ontology-based Fault Diagnosis for Industrial Control Applications
    Melik-Merkumians, Martin
    Zoitl, Alois
    Moser, Thomas
    [J]. 2010 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2010,
  • [5] Reconciling academic approaches and industrial realities: Lessons from fault diagnosis applications
    Dhurjati, P
    [J]. ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1998, 1998, : 83 - 88
  • [6] Key-performance-indicators-related fault subspace extraction for the reconstruction-based fault diagnosis
    Luo, Jiayu
    Kong, Xiangyu
    Hu, Changhua
    Li, Hongzeng
    [J]. MEASUREMENT, 2021, 186
  • [7] Monitoring and Fault Diagnosis for Industrial Process
    Li, Shuai
    Zhou, Xiaofeng
    Shi, Haibo
    Zheng, Zeyu
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 1356 - 1361
  • [8] Automated Prediction of Relevant Key Performance Indicators for Organizations
    Aksu, Unal
    Schunselaar, Dennis M. M.
    Reijers, Hajo A.
    [J]. BUSINESS INFORMATION SYSTEMS, PT I, 2019, 353 : 283 - 299
  • [9] Key Performance Indicators Based Fault Detection and Isolation Using Data-Driven Approaches
    Liu, Ruijie
    Yang, Ying
    Li, Linlin
    Ding, Steven X.
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (01) : 291 - 295
  • [10] Advanced Process Control in Industrial Applications - Key Aspects for a Sustainable Solution
    Brunberg, Anja
    Schramm, Benjamin
    Kawohl, Michael
    Piechottka, Uwe
    [J]. ATP EDITION, 2014, (03): : 48 - 55
12345