Fault diagnosis for transformer based on fuzzy entropy
Jinlu Sheng, M.S. Zhou, Ziming Guo, Z. Liu · 2007
Power transformers are one of the key equipments of the power system, so it is valuable to discover the incipient fault timely and truly. Code deficiency exists in the gas ratio method by the IEC/IEEE standard and fault diagnosis for power transformers. A model based on fuzzy entropy for power transformer faults diagnosis is put forward, which expand coding bound of original IEC three-ratio. At the same time, the method has some contain fault ability in a certain degree. It also shows the probability and disposes lost or false power transformer fault symptoms. That shows the validity of the method for power transformer fault diagnosis by dissolved gas-in-oil analysis.