A Highly Interactive Training Course On

PD Partial Discharge Localization and Fault Diagnosis

Techniques for Accurate Fault Detection
and Preventative Maintenance in Power Systems

PD Partial Discharge Localization and Fault Diagnosis
Course Schedule

CLASSROOM

14-18 Jul 2025
Dubai
$5,950
17-21 Nov 2025
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course.

Training Overview

Training Overview

Partial discharge (PD) serves as a crucial sign of insulation deterioration in electrical equipment, including transformers, switchgear, and cables. Detecting and pinpointing PD faults early is essential to avoid severe failures, enhance equipment efficiency, and prolong the life of electrical assets.

The PD Partial Discharge Localization and Fault Diagnosis training course delves into the principles and methods of PD fault detection and diagnosis. It provides professionals with the skills needed to effectively identify and address partial discharge problems. Participants will gain hands-on experience with various PD detection techniques, tools, and real-world applications through practical exercises, case studies, and diagnostic simulations.

What are the goals?

By the end of this training course, participants will be able to:

  • Understand the principles of partial discharge and its impact on electrical systems
  • Identify the different types and sources of partial discharge in high-voltage equipment
  • Learn and apply various PD detection and localization techniques, including electrical and acoustic methods
  • Diagnose PD-related faults and assess their severity in real-time conditions
  • Develop effective maintenance and monitoring strategies based on PD results
  • Utilize advanced tools and technologies for PD fault localization and analysis

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Electrical engineers and technicians responsible for power system maintenance
  • Maintenance and reliability professionals working with high-voltage equipment
  • Diagnostic engineers in the field of power generation, distribution, and transmission
  • Equipment operators, managers, and supervisors in utilities and industrial environments
  • Professionals involved in condition monitoring and predictive maintenance

How will this Training Course be Presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

Day One: Introduction to Partial Discharge (PD) and Fault Mechanisms
  • What is Partial Discharge (PD)?
  • Mechanisms and Causes of PD in Electrical Insulation Systems
  • Impact of PD on Equipment Health and Reliability
  • PD Testing: Importance and Industry Standards
  • Types of PD Faults: Internal and Surface Discharges
  • Overview of PD Detection Methods
Day Two: PD Detection Methods and Tools
  • Electrical Methods of PD Detection
  • IEC 60270 Standard
  • High-Frequency Current Transformer (HFCT)
  • UHF PD Detection
  • Acoustic Methods: Ultrasound for PD Detection
  • Optical PD Detection: Advantages and Limitations
  • Choosing the Right PD Detection Method for Different Applications
  • Practical Session: Using PD Detection Equipment for Hands-On Testing
Day Three: PD Localization Techniques
  • Principles of PD Localization: How It Works
  • Time-of-Flight Method: Measuring PD Propagation Time
  • PD Mapping: Acoustic and Electrical Localization Techniques
  • Combining Multiple Detection Methods for Accurate Localization
  • Case Study: Localizing PD Faults in a Transformer and Cable System
  • Practical Exercise: Localizing PD in Real Equipment
Day Four: Diagnosing Faults from PD Data
  • Interpreting PD Signals: Analyzing Waveforms and Patterns
  • Correlating PD Activity with Fault Severity and Risk of Failure
  • Diagnosing Internal vs. Surface PD Faults
  • PD Severity Levels and Their Implications on Equipment Performance
  • Case Study: Diagnosing a Transformer Fault Using PD Data
  • Practical Session: Analyzing PD Data and Diagnosing Faults
Day Five: Maintenance Strategies and Preventive Measures
  • Preventive Maintenance Based on PD Monitoring
  • Developing a PD-Based Monitoring Program for Long-Term Asset Health
  • Applying Trend Analysis to Predict Future Failures
  • Integrating PD Testing into Condition-Based Monitoring Systems
  • Managing PD Data: Reporting, Documentation, and Decision Making
  • Industry Trends: Smart Sensors and AI in PD Diagnostics
  • Final Discussion, Q&A, and Certification of Completion