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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
Transformer Oil Testing and Analysis Training Course provides participants with comprehensive knowledge and practical skills for evaluating the condition of transformer insulating oil to ensure the safe, reliable, and efficient operation of power transformers. Transformer oil serves as both an insulating medium and a cooling agent, making its quality essential to maintaining dielectric strength, thermal performance, and long-term equipment reliability. This course equips participants with the expertise to assess oil condition accurately and use laboratory results to support informed maintenance decisions.
The course explores the physical, chemical, and electrical properties of transformer insulating oils, including mineral oils, natural esters, and synthetic ester fluids. Participants will learn how moisture, oxidation, contamination, overheating, partial discharge, electrical arcing, and cellulose insulation degradation affect oil quality and transformer health. The relationship between oil condition and transformer reliability is examined using internationally accepted engineering principles and diagnostic methodologies.
Participants will gain practical knowledge of transformer oil sampling procedures, laboratory testing methods, and diagnostic interpretation techniques. The course covers Dissolved Gas Analysis (DGA), dielectric breakdown voltage testing, moisture determination, acidity measurement, interfacial tension testing, dielectric dissipation factor, resistivity measurement, inhibitor analysis, furan analysis, particle contamination assessment, and oil quality evaluation. Emphasis is placed on obtaining representative samples and correctly interpreting laboratory findings to detect developing transformer faults before they become critical failures.
The programme also focuses on condition-based maintenance and asset management strategies supported by transformer oil diagnostics. Participants will learn how to evaluate transformer health indices, prioritize maintenance activities, determine oil treatment requirements, extend transformer service life, and reduce maintenance costs. Practical case studies demonstrate how effective oil analysis supports reliability-centered maintenance programs while improving operational performance and minimizing unplanned outages across transmission and distribution systems.
Modern digital technologies are incorporated throughout the course to demonstrate how transformer oil analysis integrates with Supervisory Control and Data Acquisition (SCADA), Enterprise Asset Management (EAM), Computerized Maintenance Management Systems (CMMS), Laboratory Information Management Systems (LIMS), online dissolved gas monitoring systems, Industrial Internet of Things (IIoT), cloud-based analytics, and digital twin technologies. Participants will understand how intelligent monitoring solutions improve real-time diagnostics, predictive maintenance, and asset lifecycle management.
The course concludes by examining emerging trends in transformer diagnostics, including artificial intelligence, machine learning, predictive analytics, smart sensors, online condition monitoring, environmentally friendly insulating fluids, and digital substations. Through practical examples and industry case studies, participants will develop the competencies required to implement effective transformer oil testing and analysis programs that improve transformer reliability, operational safety, regulatory compliance, and long-term asset performance.
Duration
5 days
Electrical engineers responsible for transformer operation and maintenance
Power system engineers involved in transmission and distribution asset management
Transformer maintenance engineers and maintenance supervisors
Substation engineers responsible for transformer reliability and performance
Utility asset management engineers and reliability specialists
Electrical testing and commissioning engineers
Condition monitoring and predictive maintenance specialists
Laboratory engineers and transformer oil testing technicians
Power generation engineers responsible for transformer assets
Electrical consultants involved in transformer diagnostics and asset assessment
SCADA, EAM, and digital asset management professionals
Technical managers responsible for transformer maintenance programs
Develop comprehensive knowledge of transformer insulating oil properties, degradation mechanisms, and their influence on transformer performance, insulation integrity, operational reliability, and service life.
Understand internationally recognized standards including IEC, IEEE, ASTM, and ISO governing transformer oil sampling, laboratory testing, analysis procedures, and maintenance practices.
Perform accurate transformer oil sampling using industry best practices that eliminate contamination and ensure reliable laboratory test results for effective condition assessment.
Interpret Dissolved Gas Analysis (DGA), dielectric breakdown voltage, moisture content, acidity, interfacial tension, resistivity, and furan analysis to diagnose transformer faults.
Evaluate transformer health using laboratory results to identify thermal faults, electrical discharges, insulation ageing, moisture ingress, oxidation, and contamination before failure occurs.
Apply condition-based maintenance principles by using transformer oil analysis results to optimize maintenance schedules, reduce operating costs, and improve equipment reliability.
Integrate transformer oil diagnostics with SCADA, EAM, CMMS, LIMS, online monitoring systems, IIoT platforms, and digital asset management technologies.
Utilize artificial intelligence, predictive analytics, machine learning, digital twins, and online monitoring systems to enhance transformer condition assessment and maintenance planning.
Develop comprehensive diagnostic reports containing maintenance recommendations, risk assessments, asset health indices, and corrective action plans for transformer lifecycle management.
Establish sustainable transformer oil management programs that improve operational safety, regulatory compliance, asset availability, environmental performance, and long-term transformer reliability.
Functions of transformer insulating oil in electrical insulation and heat dissipation.
Types of insulating oils including mineral, natural ester, and synthetic ester fluids.
Physical, chemical, and electrical properties affecting transformer performance.
International standards governing transformer oil quality and testing procedures.
Proper oil sampling procedures to obtain representative contamination-free samples.
Selection and maintenance of sampling equipment and accessories.
Sample handling, storage, transportation, and laboratory documentation requirements.
Quality assurance practices for reliable oil sampling and laboratory testing.
Dielectric breakdown voltage testing and interpretation of results.
Moisture content determination and its effect on insulation performance.
Acidity, interfacial tension, resistivity, and dielectric dissipation factor testing.
Visual inspection, colour assessment, viscosity, and density evaluation methods.
Dissolved Gas Analysis (DGA) principles and fault gas interpretation methods.
Application of Duval Triangle, Rogers Ratio, and IEC Ratio diagnostic techniques.
Furan analysis for evaluating paper insulation ageing and degradation.
Particle contamination assessment and inhibitor content evaluation techniques.
Identification of thermal faults using dissolved gas interpretation techniques.
Diagnosis of partial discharge, arcing, and electrical discharge conditions.
Detection of moisture ingress, oxidation, sludge formation, and contamination.
Comprehensive transformer health assessment using multiple diagnostic indicators.
Transformer oil filtration, purification, dehydration, and degassing processes.
Oil reclamation, regeneration, and inhibitor replenishment techniques.
Decision-making criteria for oil replacement versus oil treatment programs.
Best practices for extending transformer oil and insulation service life.
Integration of oil diagnostics with SCADA, EAM, CMMS, and LIMS platforms.
Online dissolved gas monitoring systems for continuous transformer assessment.
Asset health indexing using cloud-based analytics and digital dashboards.
Digital documentation and lifecycle management of transformer assets.
Artificial intelligence applications for transformer fault prediction and diagnosis.
Machine learning models supporting transformer health assessment programs.
Digital twins for transformer performance simulation and lifecycle optimization.
Smart sensors and IIoT technologies for real-time transformer monitoring.
Developing condition-based maintenance strategies using oil analysis data.
Reliability-centered maintenance techniques for transformer asset optimization.
Risk assessment methodologies supporting transformer maintenance decisions.
Performance indicators and benchmarking for transformer maintenance excellence.
Environmentally friendly insulating fluids and sustainable transformer technologies.
Cybersecurity considerations for online transformer monitoring systems.
Smart substations and intelligent transformer asset management solutions.
Future developments in predictive diagnostics and digital utility operations.
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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