• DocumentCode
    2317144
  • Title

    Real time web based condition monitoring system for power transformers - Case study

  • Author

    Wagle, Anant M. ; Lobo, A.M. ; Santosh Kumar, A. ; Patil, Shubhangi ; Venkatasami, A.

  • Author_Institution
    CG Global R&D Centre, Crompton Greaves Ltd., Mumbai
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1307
  • Lastpage
    1309
  • Abstract
    The need for improved performance of power systems in terms of reliability and higher productivity has necessitated more and more application of condition monitoring techniques, which can provide early warning of potential failure with the opportunity of organizing avoidance strategies to minimize loss of time and unexpected costs. Periodic condition monitoring tests have limitations such as continuous availability of data and will lead to reactive maintenance. Any event happening between the monitoring intervals is lost and by the time it is noticed the severity of fault might have increased manifolds. To overcome this continuous monitoring solutions are gaining demand. Many stand alone solutions are available in the market for local SCADA applications. Development of a versatile real time Web based monitoring system (DAKSHITAtrade), which can take simultaneous inputs from multiple sensors, equipments and sites, are explained in this paper.
  • Keywords
    Internet; SCADA systems; computerised monitoring; condition monitoring; power transformers; real-time systems; DAKSHITA; avoidance strategies; dissolved gas analysis; hydran sensors; local SCADA applications; periodic condition monitoring; power systems; power transformers; reactive maintenance; real time Web based condition monitoring system; Availability; Condition monitoring; Costs; Organizing; Performance loss; Power system reliability; Power transformers; Productivity; Real time systems; Testing; Dissolved Gas Analysis; GSM & GPRS Service; Hydran sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580216
  • Filename
    4580216