Artificial Neural Network Approach for Fault Recognition in a Wastewater Treatment Process

被引：0
|
作者：
Miron, Mihaela [1 ]
Frangu, Laurentiu [1 ]
Caraman, Sergiu [1 ]
Luca, Laurentiu [1 ]
机构：
[1] Dunarea de Jos Univ Galati, Fac Automat Comp Elect Engn & Elect, Galati, Romania
来源：
2018 22ND INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) | 2018年
关键词：
wastewater treatment process; neural networks; fault isolation; fault recognition; actuator fault; sensor fault; process diagnosis;
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：
The paper deals with fault detection and recognition for WWTP (Wastewater Treatment Plant). The chosen classifier is a feed-forward neural network. Its input is a high-size vector of measured variables, rather than a smallsize compressed feature vector. The output of the network points to the recognized fault class. The test was performed on a simulated WWTP, disturbed by 6 different types of faults (sensors and actuators). The results of the test proved a good ability of the neural network to recognize the faults, in 97.2% of the analysed cases.
引用
收藏
页码：634 / 639
页数：6
相关论文
共 50 条
  • [1] Fault Recognition of Multilevel Inverter Using Artificial Neural Network Approach
    Athimoolam, Aravind
    Balasubramanian, Karthik
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (02): : 1331 - 1347
  • [2] Application of artificial neural network on activated sludge process for wastewater treatment
    Xie, HW
    Zhang, JJ
    Yun, XP
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 1720 - 1723
  • [3] Application of Artificial Neural Network in Wastewater Treatment
    Jia, Yueran
    Liu, Yanzhu
    Cui, Chunxia
    Tan, Lili
    INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT (EBM2011), VOLS 1-6, 2011, : 2930 - +
  • [4] Application of soft measurement based on artificial neural network in wastewater treatment process
    Yue, XP
    Yan, L
    ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS, 2005, : 1931 - 1933
  • [5] An Artificial Neural Network for Simulation of an Upflow Anaerobic Filter Wastewater Treatment Process
    McCormick, Mark
    SUSTAINABILITY, 2022, 14 (13)
  • [6] Application of Artificial Neural Network for Fault Recognition and Classification in Distribution Network
    Onaolapo, A. K.
    Akindeji, K. T.
    2019 SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE/ROBOTICS AND MECHATRONICS/PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA (SAUPEC/ROBMECH/PRASA), 2019, : 299 - 304
  • [7] A hybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process
    Choi, DJ
    Park, H
    WATER RESEARCH, 2001, 35 (16) : 3959 - 3967
  • [8] An artificial neural network approach to transformer fault diagnosis
    Zhang, Y
    Ding, X
    Liu, Y
    Griffin, PJ
    IEEE TRANSACTIONS ON POWER DELIVERY, 1996, 11 (04) : 1836 - 1841
  • [9] Offline Signature Recognition: Artificial Neural Network Approach
    Deore, Madhuri R.
    Handore, Shubhangi M.
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 1708 - 1712
  • [10] Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment
    Alardhi, Saja Mohsen
    Salman, Ali Dawood
    Breig, Sura Jasem Mohammed
    Jaber, Alaa Abdulhady
    Fiyadh, Seef Saadi
    Aljaberi, Forat Yasir
    Nguyen, D. Duc
    Van, Bao
    Le, Phuoc-Cuong
    JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2024, 133 : 599 - 613
12345