The invention discloses a power
transformer arc
discharge multi-parameter detection
simulation platform and a fault diagnosis method, and relates to the technical field of power
system equipment state monitoring and fault diagnosis. The platform comprises a
transformer body, a replaceable
discharge module, a multi-parameter sensing unit and a
signal processing and diagnosis module, and can truly reproduce various typical arc
discharge faults of a needle plate, an air gap, a creeping surface, turn-to-turn and the like. The sensing unit is integrated with
ultrahigh frequency and ultrasonic sensing probes, high-frequency current and
voltage sensors,
optical fiber temperature / pressure / strain sensors and the like, so that synchronous acquisition of multi-
physical field signals is realized. According to the diagnosis method, through
wavelet denoising and multi-dimensional
feature extraction, a
feature vector of multi-
state parameter fusion in the process from
partial discharge to arcing is constructed, and accurate classification of fault types is realized by using a
support vector machine (SVM) model. The diagnosis method has high accuracy and early warning capability, effectively overcomes the limitation of
single parameter diagnosis, and provides reliable
technical support for
transformer fault research and intelligent operation and maintenance.