The invention relates to the technical field of
transformer fault diagnosis, and discloses a
transformer multi-source fault diagnosis method and
system and a storage medium. The method comprises the steps that fault signals of a
transformer are collected in real time through a
sensor array and subjected to denoising
processing,
signal features are classified through a clustering analysis
algorithm, detection parameters are adjusted based on classification labels, and the fault
prediction probability is further calculated; optimizing a fault response sequence according to the fault
prediction probability, and establishing a communication protocol based on the sequence to realize synchronization of a
signal acquisition process and a
data analysis process; and finally, generating a maintenance scheduling instruction, and generating a fault response scheme based on the fault type and the maintenance priority. According to the method, by dynamically adjusting a response mechanism and optimizing
data synchronization, the accuracy and response efficiency of fault diagnosis are remarkably improved, the loss of transformer faults can be effectively reduced, and the operation reliability of
power equipment is improved.