Scientific Development Research

As the core equipment of power systems, the safety of power transformers directly impacts the stability of electricity supply. This paper explores modern-based condition monitoring and fault diagnosis methods for power transformers, analyzes the limitations of traditional monitoring approaches, and proposes innovative online monitoring technologies and intelligent fault diagnosis solutions. Through real-time data acquisition and processing, the system can accurately identify transformer operational status and potential faults, thereby significantly improving operational efficiency and reliability. Research demonstrates that integrated diagnostic methods can substantially reduce transformer failure rates and downtime, enhancing the overall stability of power systems.

Power transformer; Condition monitoring; Fault diagnosis; Intelligentization; Online monitoring