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| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 05/10/2026 to 09/10/2026 | Nairobi | 1,500 USD | Register |
| 05/10/2026 to 09/10/2026 | Mombasa | 1,750 USD | Register |
| 02/11/2026 to 06/11/2026 | Nairobi | 1,500 USD | Register |
| 02/11/2026 to 06/11/2026 | Mombasa | 1,750 USD | Register |
| 02/11/2026 to 06/11/2026 | Kigali | 2,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Nairobi | 1,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Nairobi | 1,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Mombasa | 1,750 USD | Register |
| 04/01/2027 to 08/01/2027 | Nairobi | 1,500 USD | Register |
| 01/02/2027 to 05/02/2027 | Nairobi | 1,500 USD | Register |
| 01/03/2027 to 05/03/2027 | Nairobi | 1,500 USD | Register |
| 05/04/2027 to 09/04/2027 | Nairobi | 1,500 USD | Register |
| 03/05/2027 to 07/05/2027 | Nairobi | 1,500 USD | Register |
| 07/06/2027 to 11/06/2027 | Nairobi | 1,500 USD | Register |
| 05/07/2027 to 09/07/2027 | Nairobi | 1,500 USD | Register |
Course Introduction
Power transformer diagnostics play a vital role in ensuring the reliability, safety, and operational efficiency of electrical power systems. Accurate diagnostic testing enables engineers to detect developing faults, assess equipment condition, predict potential failures, and implement timely maintenance actions before catastrophic breakdowns occur. As transformers represent some of the most valuable assets in transmission and distribution networks, effective diagnostics significantly reduce unplanned outages, maintenance costs, and operational risks. This Power Transformer Diagnostics Training Course provides participants with comprehensive knowledge of transformer condition assessment, diagnostic testing techniques, fault analysis, data interpretation, and international engineering best practices.
Participants will develop a thorough understanding of transformer diagnostic methods including dissolved gas analysis (DGA), insulation resistance testing, polarization index testing, transformer turns ratio testing, winding resistance measurements, frequency response analysis, partial discharge monitoring, power factor testing, capacitance measurements, sweep frequency response analysis (SFRA), thermal imaging, oil quality analysis, and infrared inspections. The course emphasizes engineering methodologies used to evaluate transformer health, identify insulation degradation, detect winding deformation, assess moisture contamination, and determine remaining asset life while ensuring compliance with international standards.
The training combines engineering theory with practical applications through laboratory demonstrations, diagnostic testing exercises, engineering calculations, transformer inspection workshops, fault analysis case studies, and real-world troubleshooting scenarios. Participants will learn systematic approaches for selecting appropriate diagnostic tests, interpreting laboratory reports, evaluating transformer condition trends, identifying failure mechanisms, developing maintenance recommendations, and preparing technical reports that support effective asset management and lifecycle optimization.
Modern electrical networks are evolving through renewable energy integration, battery energy storage systems, smart grids, digital substations, Industrial Internet of Things (IIoT), online transformer monitoring systems, artificial intelligence, digital twins, and predictive analytics. This course explores these emerging technologies and demonstrates how intelligent diagnostics, continuous condition monitoring, automated fault detection, machine learning, and data-driven maintenance strategies improve transformer reliability, operational resilience, cybersecurity awareness, and sustainable asset management across modern power systems.
Participants will also examine common transformer problems including insulation aging, overheating, moisture ingress, winding displacement, oil contamination, partial discharge activity, tap changer failures, bushing deterioration, core faults, excessive loading, cooling system failures, and electrical transients. Through practical case studies and industry examples, the course demonstrates how advanced diagnostic techniques improve fault detection accuracy, reduce maintenance costs, prevent unexpected failures, extend transformer service life, and strengthen the reliability of electrical transmission and distribution systems.
Upon successful completion of the Power Transformer Diagnostics Training Course, participants will possess the technical competence and practical confidence required to perform, evaluate, and interpret advanced transformer diagnostic tests. They will be equipped to improve asset reliability, optimize maintenance planning, ensure compliance with international engineering standards, minimize operational risks, and contribute to the safe, reliable, and efficient operation of electrical power systems.
Duration
5 days
Who Should Attend
Electrical Engineers
Power System Engineers
Transformer Maintenance Engineers
Electrical Maintenance Engineers
Utility Engineers
Substation Engineers
Commissioning Engineers
Protection and Control Engineers
Reliability Engineers
Asset Management Engineers
Condition Monitoring Engineers
Electrical Test Engineers
Field Service Engineers
Plant Engineers
Facility Engineers
Electrical Technicians
Engineering Consultants
Operations Engineers
Engineering Managers
Engineering Graduates pursuing careers in transformer diagnostics
Course Objectives
Develop comprehensive knowledge of power transformer diagnostic principles, condition assessment methodologies, and engineering practices that improve transformer reliability, safety, and operational performance.
Apply internationally recognized transformer testing standards, maintenance guidelines, and diagnostic procedures to evaluate transformer health and ensure regulatory compliance.
Perform dissolved gas analysis, insulation resistance testing, polarization index measurements, transformer turns ratio testing, winding resistance testing, and oil quality analysis using accepted engineering methodologies.
Evaluate transformer insulation systems, windings, bushings, tap changers, cooling systems, magnetic cores, and auxiliary equipment to identify deterioration, abnormal conditions, and potential failure mechanisms.
Interpret diagnostic reports, laboratory analysis results, thermal imaging data, partial discharge measurements, and frequency response analyses to support informed maintenance decisions.
Identify transformer faults including insulation degradation, moisture contamination, overheating, winding displacement, core defects, oil deterioration, and electrical discharge activity using advanced diagnostic techniques.
Integrate online monitoring systems, Industrial Internet of Things technologies, artificial intelligence, predictive analytics, and digital substations into modern transformer diagnostic and condition monitoring programs.
Develop preventive, predictive, and condition-based maintenance strategies using diagnostic data to optimize maintenance schedules, extend transformer service life, and minimize operational downtime.
Prepare comprehensive diagnostic reports, technical evaluations, maintenance recommendations, and asset health assessments that support effective lifecycle management and engineering decision-making.
Strengthen engineering competence through fault analysis, risk assessment, reliability improvement initiatives, quality assurance practices, and continuous optimization of transformer asset performance.
Course Outline
Module 1: Fundamentals of Power Transformer Diagnostics
Principles of transformer condition assessment and diagnostic engineering
Transformer construction, insulation systems, and failure mechanisms
International transformer testing standards and diagnostic guidelines
Asset management principles supporting transformer reliability
Module 2: Electrical Diagnostic Testing Methods
Insulation resistance and polarization index testing procedures
Transformer turns ratio and winding resistance testing techniques
Excitation current testing and magnetic core performance evaluation
Power factor and capacitance testing for insulation assessment
Module 3: Transformer Oil and Dissolved Gas Analysis
Transformer insulating oil characteristics and degradation mechanisms
Dissolved gas analysis principles and fault gas interpretation methods
Moisture analysis, acidity testing, and dielectric strength evaluation
Oil sampling procedures and laboratory testing best practices
Module 4: Advanced Diagnostic Technologies
Sweep frequency response analysis for winding condition evaluation
Partial discharge detection and electrical discharge diagnostics
Thermal imaging techniques for transformer condition monitoring
Online monitoring systems and intelligent diagnostic technologies
Module 5: Transformer Fault Analysis
Identification of electrical, thermal, and mechanical transformer faults
Analysis of insulation aging and winding deformation indicators
Tap changer diagnostic testing and operational performance assessment
Root cause analysis of transformer failures and corrective measures
Module 6: Maintenance Planning and Asset Optimization
Preventive and predictive maintenance planning methodologies
Condition-based maintenance using diagnostic performance indicators
Reliability-centered maintenance for transformer asset management
Lifecycle optimization and long-term maintenance strategies
Module 7: Emerging Technologies in Transformer Diagnostics
Smart transformers and digital substation monitoring systems
Industrial Internet of Things applications for transformer diagnostics
Artificial intelligence and predictive analytics for fault detection
Renewable energy integration and transformer monitoring challenges
Module 8: Safety, Compliance, and Quality Assurance
Electrical safety procedures during transformer diagnostic testing
Regulatory compliance and international engineering standards
Quality assurance practices for diagnostic testing and reporting
Environmental management of transformer oil and testing activities
Module 9: Engineering Documentation and Performance Evaluation
Diagnostic report preparation and technical documentation standards
Asset health assessment and transformer condition indexing methods
Performance trend analysis and maintenance decision support
Continuous improvement through engineering performance evaluation
Module 10: Practical Applications and Industry Case Studies
Comprehensive transformer diagnostic testing and analysis exercises
Solving real-world transformer failures through engineering case studies
Review of laboratory reports, diagnostic data, and maintenance planning
Final integrated project covering power transformer diagnostics
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 05/10/2026 to 09/10/2026 | Nairobi | 1,500 USD | Register |
| 05/10/2026 to 09/10/2026 | Mombasa | 1,750 USD | Register |
| 02/11/2026 to 06/11/2026 | Nairobi | 1,500 USD | Register |
| 02/11/2026 to 06/11/2026 | Mombasa | 1,750 USD | Register |
| 02/11/2026 to 06/11/2026 | Kigali | 2,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Nairobi | 1,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Nairobi | 1,500 USD | Register |
| 07/12/2026 to 11/12/2026 | Mombasa | 1,750 USD | Register |
| 04/01/2027 to 08/01/2027 | Nairobi | 1,500 USD | Register |
| 01/02/2027 to 05/02/2027 | Nairobi | 1,500 USD | Register |
| 01/03/2027 to 05/03/2027 | Nairobi | 1,500 USD | Register |
| 05/04/2027 to 09/04/2027 | Nairobi | 1,500 USD | Register |
| 03/05/2027 to 07/05/2027 | Nairobi | 1,500 USD | Register |
| 07/06/2027 to 11/06/2027 | Nairobi | 1,500 USD | Register |
| 05/07/2027 to 09/07/2027 | Nairobi | 1,500 USD | Register |
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