ALTERNATIVE METHODS OF MACHINE ONLINE CONDITION MONITORING; RECOMMENDATIONS FOR ROTATING MACHINES IN PETROLEUM AND CHEMICAL INDUSTRY

被引:0
|
作者
Ul Haq, Saeed [1 ]
Trivedi, Ashish [2 ]
Rochon, Steve [3 ]
Moorthy, Madu Ts [1 ]
机构
[1] GE Power Coners, 107 Pk St North, Peterborough, ON, Canada
[2] Delom Wajax, 3350 Amer Dr, Mississauga, ON L4V 1B3, Canada
[3] Suncor Energie, 11701 Sherbrooke Est, Montreal, PQ, Canada
来源
2023 IEEE IAS PETROLEUM AND CHEMICAL INDUSTRY TECHNICAL CONFERENCE, PCIC | 2023年
关键词
rotating machines; monitoring; partial discharge; corrective measures; condition assessment;
D O I
10.1109/PCIC43643.2023.10414292
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Rotating machines health assessment is an important aspect of machine operation. There are several online tests and techniques available to assess machine condition during service. Online condition monitoring and assessment helps to detect changes in machine operating condition at an early stage as well as determining the degree of degradation over time. Assessing machine condition can help estimate the risk of failure and the potential vulnerability to unexpected or unintended operating events. The objective is to promptly initiate corrective measures preventing costly shutdowns and production losses. The online monitoring is also helpful in being well prepared ahead of scheduled shutdown. In this paper, individual online tests and monitoring techniques are discussed on both synchronous and indu ction machines rated between 4.0 kV and up to 13.8 kV. The online monitoring techniques covered are; rotor flux monitoring, stator endwinding vibration monitoring, broken rotor bar detection, stator inter-turn fault detection and online partial discharge monitoring. A systematic approach based on years of experience and field studies is presented to provide a clear path for selecting appropriate tests and to choose an optimized and best possible online monitoring techniques that can be used in the Petroleum and Chemical Industry.
引用
收藏
页码:115 / 123
页数:9
相关论文
共 50 条
  • [1] Alternative Methods of Machine Online Condition Monitoring: RECOMMENDATIONS FOR ROTATING MACHINES IN THE PETROLEUM AND CHEMICAL INDUSTRY
    Ul Haq, Saeed
    Trivedi, Ashish
    Rochon, Steve
    Moorthy, Madu T. S.
    IEEE INDUSTRY APPLICATIONS MAGAZINE, 2024, 30 (06) : 19 - 31
  • [2] A Novel Online Machine Learning Approach for Real-Time Condition Monitoring of Rotating Machines
    Mostafavi, Alireza
    Sadighi, Ali
    2021 9TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2021, : 267 - 273
  • [3] Review of Effective Diagnostic and Condition Monitoring Methods for Rotating Machines
    Sedding, Howard
    Brown, Andy
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 3025 - 3027
  • [4] Integrating online machine condition monitoring with quality monitoring in the cable industry
    Technical Marketing Services, Granby, CT, United States
    不详
    不详
    不详
    Wire J Int, 2006, 6 (64-68):
  • [5] Smart Rotating Machines for Condition Monitoring
    Friswell, Michael I.
    He, YongYong
    DAMAGE ASSESSMENT OF STRUCTURES VIII, 2009, 413-414 : 423 - +
  • [6] Alternative Test Methods for Monitoring the Condition of Brushless Exciters in Synchronous Machines
    Kim, Hanju
    Shaikh, Muhammad Faizan
    Lee, Sang Bin
    Platero, Carlos Antonio
    Kim, Taehyung
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2022, 37 (03) : 2009 - 2018
  • [7] Review of condition monitoring of rotating electrical machines
    Tavner, P. J.
    IET ELECTRIC POWER APPLICATIONS, 2008, 2 (04) : 215 - 247
  • [8] An Integrated Method for Condition Monitoring of Rotating Machines
    Chen, Guangyuan
    Lu, Guoliang
    Yan, Peng
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 144 - 149
  • [9] Online condition monitoring system for rotating machine elements using edge computing
    Pagar, N. D.
    Gawde, S. S.
    Sanap, S. B.
    AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2024, 22 (05) : 984 - 997
  • [10] Acoustic Machine Analysis - Experience of the Test Technology Condition Monitoring GmbH on rotating Machines
    Tanasijevic, Misel
    Becker, Edwin
    MASCHINENAKUSTIK 2010: WETTBEWERBSVORTEIL DURCH GERAUSCHARME PRODUKTE, 2010, 2118 : 169 - 172