Incomplete and uncertain information is frequently observed in the data analysis processes,
which has become one of main challenges for the development of fault diagnosis …

Most presented dissolved gas analysis (DGA) techniques were interested in determining the
fault types (FTs), but few articles discussed the corresponding severity of these faults. Here …

Precise power transformer fault diagnosis involves incorporating multi‐source monitoring
information. Uncertain information, missing data, usually occurs in transformer fault cases …

The condition of the insulation system of a power transformer has a significant impact on its
overall reliability and serviceability. Transformer oil tests including breakdown voltage …

This paper presents a diagnostic system which implements several most widely used
methods, using fuzzy logic, for fault diagnosis in power transformers using the dissolved gas …

Dissolved gas-in-oil analysis (DGA) is a sensitive and reliable technique for the detection of
incipient fault condition within oil-immersed transformers. When the mineral oil is subjected …

Detection of substation equipment can promptly and effectively discover equipment
overheating defects and prevent equipment failures. Traditional manual diagnosis methods …

Traditional high-voltage reactor monitoring and diagnosis research has problems such as
high sampling demand, difficulty in noise reduction on site, many false alarms, and lack of …

This paper shows a fuzzy logic-based method for determining the degree of polymerization
of the solid insulation of a transformer, taking into account the 2-FAL (2-furfuraldehyde) …

Transformer losses are one of the factors to be considered in the distribution of electrical
energy. In the Special Region of Yogyakarta, there are 12 transformers with a capacity of 60 …