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The concept of full‑life‑cycle management for transformers is gaining widespread adoption, and operation‑and‑maintenance models are undergoing continuous upgrades.

2026-04-13

As a critical component of the power grid, transformers directly impact the reliability of power supply. The conventional operation and maintenance approach relies primarily on routine inspections and preventive testing, making it difficult to comprehensively monitor internal aging trends.
The concept of full‑life‑cycle management for transformers is gaining widespread adoption, and operation‑and‑maintenance models are undergoing continuous upgrades.

As a critical component of the power grid, the operational condition of transformers directly impacts the reliability of power supply. Traditional operation and maintenance practices rely primarily on routine inspections and preventive testing, making it difficult to comprehensively track internal aging trends. In recent years, a lifecycle‑management approach based on condition monitoring has been steadily gaining traction across the industry. By continuously monitoring key parameters such as dissolved gases in transformer oil, partial discharge, winding temperature, and load characteristics, and by leveraging data analytics to assess risks—including insulation aging, abnormal temperature rises, and latent faults—this approach facilitates a shift from “scheduled maintenance” to “condition‑based maintenance.” Such a paradigm not only enhances fault‑prediction capabilities and reduces unplanned outages but also extends the effective service life of equipment, while driving the transformer industry toward greater emphasis on maintenance services and holistic solutions.

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