Fault early warning and monitoring method and system for secondary equipment of power system

The invention provides a power system secondary equipment fault early warning monitoring method and system, and belongs to the field of power equipment monitoring. Firstly, a plurality of temperature values of the secondary equipment are collected and normalized to obtain a normalized temperature sampling value sample, then the temperature value of the secondary equipment at the next moment or in the future short-term moment is predicted through a training iterative algorithm, and when the predicted temperature value is abnormal, fault early warning is carried out. According to the power system secondary equipment fault early warning monitoring method provided by the invention, complex prediction model construction is avoided, a large amount of historical data calling is not needed, and a rule is searched from the historical data of the secondary equipment in a data iteration mode for prediction, so that decoupling of related data of the secondary equipment is avoided, and the reliability of the power system