• DocumentCode
    3569200
  • Title

    A holistic combined electrical and mechanical condition monitoring technique for oil and gas high voltage rotating machines

  • Author

    Giussani, Riccardo ; Renforth, Lee ; Seltzer-Grant, Malcolm ; Zachariades, Christos

  • Author_Institution
    HVPD Ltd., Manchester, UK
  • fYear
    2015
  • Firstpage
    283
  • Lastpage
    287
  • Abstract
    A new holistic technique for the combined electrical and mechanical condition monitoring (CM) of high voltage (HV) rotating machines has been developed. It is mainly aimed at the oil and gas sector where machine failure can potentially have catastrophic consequences as well as a huge financial cost. The technique combines partial discharge (PD) monitoring, motor current signature analysis (MCSA), power quality (PQ) monitoring and vibration monitoring. The sensors employed include a newly developed tri-band sensor for online partial discharge (OLPD) detection, PQ and MCSA measurements as well as accelerometers for vibration monitoring. The sensors and monitoring modules are complemented by a CM database for trending and benchmarking purposes. Case studies from oil and gas customers emphasize the importance of using a permanent, continuous, combined monitoring solution.
  • Keywords
    condition monitoring; electric machines; electrical safety; gas industry; partial discharge measurement; petroleum industry; power supply quality; vibration measurement; catastrophic consequence; electrical condition monitoring technique; gas indusry; high voltage rotating machines; mechanical condition monitoring technique; motor current signature analysis; oil industry; partial discharge monitoring; power quality monitoring; vibration monitoring; Condition monitoring; Induction motors; Monitoring; Partial discharges; Sensors; Vibrations; MCSA; OLPD; condition based monitoring; oil and gas; partial discharge; rotating machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation Conference (EIC), 2015 IEEE
  • Print_ISBN
    978-1-4799-7352-1
  • Type

    conf

  • DOI
    10.1109/ICACACT.2014.7223539
  • Filename
    7223539