• DocumentCode
    159219
  • Title

    Detecting and predicting arc flash events at low operational loads

  • Author

    Kennedy, Rodney A

  • Author_Institution
    QHi Group Ltd., Harpenden, UK
  • fYear
    2014
  • fDate
    8-10 Sept. 2014
  • Firstpage
    415
  • Lastpage
    427
  • Abstract
    One of the primary causes of electrical arc flash incidents is compromised joints. The accepted “Best Practice” has been periodic thermal scans (typically annual). However, this does not overcome critical issues e.g. workers remain exposed to risks, it´s only an annual “snapshot”, often taken at a time not reflecting the most critical operating phases, or conversely at such a critical instant that it may actually cause the incident, and the measurement is taken externally requiring operator correlation to the true internal temperature. This is of particular relevance to the oil & gas industry where dual power feeds, each operating at low operational load (typically below 40%), is the norm.
  • Keywords
    arcs (electric); electrical faults; electrical safety; gas industry; occupational safety; petroleum industry; risk management; IR based continuous monitoring technology; arc flash event detection; arc flash event prediction; asset integrity; electrical arc flash incidents; fault detection; global OEM; infrared technology; low operational loads; oil & gas industry; periodic thermal scans; power feeds; predictive software; risk mitigation program; thermal alarm thresholds; Arc discharges; Inspection; Joints; Lenses; Maintenance engineering; Resistance heating; Temperature measurement; Arc Flash prevention; Asset integrity; Dynamic low load protection; Infrared sensors; Risk mitigation; Thermal Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Petroleum and Chemical Industry Technical Conference (PCIC), 2014 IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0090-3507
  • Print_ISBN
    978-1-4799-3054-8
  • Type

    conf

  • DOI
    10.1109/PCICon.2014.6961907
  • Filename
    6961907