Transformer Oil Testing Laboratory

Pouya Pazhoohesh Arvid Pazh Co.

Chemical Laboratory Unit

Team:

Dr. Reyhaneh Zakerolhosseini,

Eng. Farhad Abdi, Eng. Masoud Tahani, Eng. Davood Fazeli Shakib, Eng. Saeed Sabeti, and Eng. Mohammad Reza Soleimani Fara.

“Our mission is to perform comprehensive testing and analysis of insulating oils to monitor the condition of power equipment, enhance grid reliability, and support data-driven technical decision-making.”

Areas of Expertise:

Conducting physical, chemical, and Dissolved Gas Analysis (DGA) tests, alongside in-depth interpretation of results for condition assessment and early fault detection in high-voltage equipment.

Corporate Services:

• Dissolved Gas Analysis (DGA) and expert interpretation of results.
• Measurement of physical and chemical properties of insulating oils in accordance with international standards.
• Quality and health assessment of power and distribution transformer oils.
• Testing of key parameters, including moisture content, acidity, breakdown voltage, dielectric dissipation factor (Tan Delta), interfacial tension, and other critical indicators.
• Trend analysis of test results and provision of specialized condition monitoring reports.
• Technical support for Condition-Based Maintenance (CBM) programs.

Vision & Market Development (2026 Strategy):

• Expanding collaborations with regional electric companies, power distribution utilities, power plants, and energy industries.
• Developing advanced analytical capabilities in transformer diagnostics and high-voltage equipment.
• Upgrading laboratory infrastructure to enhance the accuracy, turnaround time, and reliability of testing services.

Key Laboratory Advantages:

• Specialized expertise in testing and analyzing insulating oils for high-voltage equipment.
• Technical experience in DGA result interpretation and transformer condition monitoring.
• Utilization of testing methodologies compliant with IEC, ASTM, and IEEE standards.
• Strong focus on quality, accuracy, and traceability of laboratory data.
• Integration of laboratory expertise and technical analysis to facilitate effective maintenance decision-making.
• Proven role in reducing equipment failure risks and enhancing the reliability of power and energy networks.