In actual industrial scenarios, fault data is rare and fault labels are difficult to obtain, which
brings many obstacles for fault diagnosis. For this situation, this research proposes a novel …

The normal operation of the power transformer guarantees the safety and reliability of the
power system. However, the data of gas in oil exists the phenomenon of insufficient and …

With the development of Industry 4.0, as a pivotal part of the power system, large-capacity
power transformers are requiring fault diagnostic methods with higher intelligence, accuracy …

As energy conversion systems continue to grow in complexity, pneumatic control valves may
exhibit unexpected anomalies or trigger system shutdowns, leading to a decrease in system …

This study proposes a novel method to improve the fault identification performance of
transformers. First, to couple multiple factors, a high‐dimensional feature map composed of …

Dissolved gas analysis can provide powerful technical support for assessment and fault
diagnosis of power transformers. However, due to inadaptability of model structure, the …

This paper discusses the impact of the feature input vector on the performance of dissolved
gas analysis-based intelligent power transformer fault diagnosis methods. For this purpose …

Power transformers are complex and extremely important piece of electrical equipment in a
power system, playing an important role in changing voltage and transmitting electricity. Its …

Dissolved gas analysis (DGA) is the standard technique to diagnose the fault types of oil-
immersed power transformers. Various traditional DGA methods have been employed to …

As the cornerstone of transmission and distribution equipment, power transformer plays a
very important role in ensuring the safe operation of power system. At present, the …