PD Partial Discharge Localization and Fault Diagnosis
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| PD Partial Discharge Localization and Fault Diagnosis | 04 Oct 2026 | 08 Oct 2026 | Riyadh, KSA | $ 3,900 | Register |
PD Partial Discharge Localization and Fault Diagnosis
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| PD Partial Discharge Localization and Fault Diagnosis | 04 Oct 2026 | 08 Oct 2026 | Riyadh, KSA | $ 3,900 |
Introduction
Partial discharge (PD) is a key indicator of insulation degradation in electrical equipment, such as transformers, switchgear, and cables. Early detection and precise localization of PD faults are critical for preventing catastrophic failures, optimizing equipment performance, and extending the lifespan of electrical assets. This PD Partial Discharge Localization and Fault Diagnosis training course focuses on the principles and techniques of PD fault localization and diagnosis, equipping professionals with the necessary skills to accurately identify and mitigate partial discharge issues. Participants will explore various PD detection methods, tools, and practical applications through hands-on exercises, case studies, and diagnostic simulations.
Objectives
- 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
By the end of this training course, participants will be able to:
Training Methodology
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.
Who Should Attend?
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
Course Outline
Day 1: 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 2: 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 3: 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 4: 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 5: 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

