Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring

被引：16
|
作者：
Singh, G. K. [1 ]
Al Kazzaz, Sa'ad Ahmed Saleh [2 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India
[2] Univ Mosul, Dept Elect Engn, Mosul, Iraq
来源：
IEEE SYSTEMS JOURNAL | 2008年 / 2卷 / 02期
关键词：
Artificial neural network (ANN); condition monitoring; diagnosis; fault; fuzzy logic; induction machine; signal processing; vibration; wavelet transform;
D O I：
10.1109/JSYST.2008.924129
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the development of an intelligent diagnostic system for induction machine health monitoring has been presented. The idea behind the artificial neural network and its application for machine diagnostic is described briefly. The general condition of intelligent system design based on neural network is discussed. The results of using developed intelligent algorithm for efficient and accurate identification of machine health are demonstrated. C++ and MATLAB programs have been used for the development of the intelligent algorithm (multi-layer feed-forward neural network with back propagation algorithm) for machine diagnostic and monitoring.
引用
收藏
页码：273 / 288
页数：16
相关论文
共 50 条
  • [1] Development of a cloud intelligent machine monitoring and control system
    Wang, Li-Chih
    Lan, Kung-Ming
    Fan, Kang-Chu
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2024, 238 (09) : 1259 - 1269
  • [2] Development of an Intelligent Mobile Health Monitoring System for the Health Surveillance System in Indonesia
    Djawad, Y. A.
    Suhaeb, S.
    Ridwansyah
    Jaya, H.
    Fathahillah
    Saharuddin
    [J]. IRBM, 2021, 42 (01) : 28 - 34
  • [3] Machine Health Monitoring of Induction Motors
    Hiremath, Panchaksharayya S.
    Ram, Kalyan B.
    Patil, Santoshgouda M.
    Sabarish, V
    Biradar, Preeti
    Arunkumar, S.
    [J]. CYBER-PHYSICAL SYSTEMS AND DIGITAL TWINS, 2020, 80 : 51 - 56
  • [4] Implementation of Health Monitoring System of Induction Machine Using Computational Intelligence
    Thakar, Darshan Upendrabhai
    Adhlakha, Richa
    Chauhan, Rahul
    Rachapudi, Venubabu
    Khan, Mohammad Ahmar
    Kaushal, Ashish Kumar
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (05) : 2341 - 2350
  • [5] Intelligent health monitoring system modeling based on machine learning and agent technology
    Elouni, Jihed
    Ellouzi, Hamdi
    Ltifi, Hela
    Ben Ayed, Mounir
    [J]. MULTIAGENT AND GRID SYSTEMS, 2020, 16 (02) : 207 - 226
  • [6] Development of an Intelligent Condition Monitoring System for AC Induction Motors using PLC
    Irfan, Muhammad
    Saad, Nordin
    Ibrahim, Rosdiazli
    Asirvadam, Vijanth S.
    [J]. 2013 IEEE BUSINESS ENGINEERING AND INDUSTRIAL APPLICATIONS COLLOQUIUM (BEIAC 2013), 2013, : 789 - 794
  • [7] Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing
    Guo, Yuan
    Sun, Yu
    Wu, Kai
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (02):
  • [8] Development and Testing of a Combined Machine and Process Health Monitoring System
    Dominguez-Caballero, Javier
    Stammers, Jon
    Moore, James
    [J]. 7TH CIRP GLOBAL WEB CONFERENCE - TOWARDS SHIFTED PRODUCTION VALUE STREAM PATTERNS THROUGH INFERENCE OF DATA, MODELS, AND TECHNOLOGY (CIRPE 2019), 2019, 86 : 20 - 25
  • [9] Smart and Intelligent Health Monitoring System
    Saqib, Muhammad
    Najah, Samiha
    Naidu, Vikas Rao
    Agarwal, Aparna
    Jesrani, Karan
    [J]. ADVANCES IN INFORMATION COMMUNICATION TECHNOLOGY AND COMPUTING, AICTC 2021, 2022, 392 : 65 - 73
  • [10] IoT Framework with Support Vector Machine Learning Algorithm for Intelligent Health Monitoring System
    Khasim, Syed
    Basha, Shaik Shakeer
    [J]. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 2022, 14 (02) : 2168 - 2180
12345