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Digital Learning – Condition Monitoring for Power System Equipment

December 7, 2020

Digital Learning  – Condition Monitoring for Power System Equipment

Jadwal Pelatihan Digital Learning – Condition Monitoring for Power System Equipment

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DESCRIPTION

Faced with increased demands and growing competition, many utilities and industries are seeking to maximize the value of their existing assets by leveraging new technologies to optimize Operations and Maintenance activities. One of the most successful maintenance strategies is a conditioned-based approach which utilizes data collected from periodic inspections, testing and predictive maintenance technologies to determine the optimum maintenance requirements.

Contrary to the traditional time-based maintenance approach, Condition-based Maintenance is a process, which utilizes monitoring and diagnostic data to drive the maintenance decision process.

MATERI PELATIHAN

1. Cable Diagnostics

  • Brief overview of types of cables and its accessories
  • Failure modes of cables and its accessories
  • Destructive and off-line tests-HVDC, HVAC, VLF & OSW
  • Non-destructive and off-line tests-PD mapping
  • Non-destructive and off-line tests-RVM and Dielectric Spectroscopy
  • Non-destructive and on-line tests-HFCT, Ultrasonic
  • Case Study Lecture, Discussions & Exercise Power Point

2. Switchgear Diagnostics

  • Brief Overview of Switchgear Construction-VCB & SF6
  • Failure Modes of Switchgear
  • Hipot Test
  • Contact Resistance Test
  • Insulation Resistance Test
  • Power Factor/Tan Delta Test
  • Timing Test
  • On-Line Tests-Partial Discharge & Thermography

3. Transformer Diagnostics

  • Brief Overview of Transformer Construction
  • Brief Overview on Oil and Paper Insulation Degradation
  • Failure Modes of Transformer And OLTC
  • OLTC Monitoring Through Motor Current Signature Analysis
  • Dissolved Gas Analysis
  • Furan Analysis
  • Degree of Polymerisation Test
  • Case Study Lecture, Discussions & Exercise Power Point
  • Partial Discharge Analysis-Acoustic and HFCT
  • Off-Line Tests-PI, Winding Resistance, Turns Ratio
  • Case Study
  • Return Voltage Measurement

4. Frequency Response Analysis

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Topik Training : Digital Learning – Condition Monitoring for Power System Equipment
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