Online Equipment Monitoring

In today’s power industry, high-voltage equipment is no longer considered merely as electrical equipment, but rather as a strategic asset of an organization. Proper management of these assets plays a direct role in improving grid reliability, reducing operational costs, and increasing investment efficiency. The Physical Asset Management approach is based on the principle that decisions regarding the operation, maintenance, refurbishment, and replacement of equipment should be made based on actual data, equipment health condition, and risk analysis, rather than solely on chronological age or time-based maintenance schedules. This approach covers all stages of the equipment lifecycle, including design, installation, commissioning, operation, maintenance, repair, optimization, and replacement.

Sharif Power Testing Development Company provides specialized asset management services focused on instrument transformers and power transformer bushings, based on the latest international standards and power industry experience. These services include equipment identification and documentation, collection and analysis of operational records, review of periodic test results, analysis of electrical parameter trends, evaluation of environmental conditions, and determination of the Health Index for each asset. The outcome of this process is an accurate assessment of the actual condition of assets and the prioritization of maintenance and investment actions.

One of the main pillars of asset management is Online Condition Monitoring. In this method, the condition of equipment is continuously monitored without the need for taking it out of service, and key data is collected and analyzed in real time. For high-voltage bushings, monitoring parameters such as capacitance, Tan δ, leakage current, connection temperatures, and insulation degradation trends enables the early detection of insulation deterioration. For instrument transformers, condition monitoring can identify performance changes, insulation quality degradation, switching or lightning-induced overvoltages, and other factors affecting equipment reliability.

Alongside online monitoring, the company utilizes Risk-Based Maintenance (RBM) and Condition-Based Maintenance (CBM) methods to evaluate each asset in terms of failure probability and its consequences, providing the most suitable solution for continued operation, repair, refurbishment, or replacement. This approach leads to reduced unplanned outages, increased grid reliability, lower capital and operational costs, and optimized utilization of organizational resources.

Our goal is to establish an intelligent asset management system that, by integrating data from testing, online monitoring, maintenance records, and engineering analyses, enables accurate and data-driven decision-making for power grid managers and operators, while maximizing the value derived from the physical assets of the power industry.