Novel equipment intelligent predictive maintenance method

The invention relates to the technical field of equipment maintenance, in particular to a novel intelligent predictive equipment maintenance method, which comprises the following steps of: collecting data of normal conditions and fault conditions through an intelligent state monitoring sensor, preprocessing the collected data, converting and analyzing data formats, extracting a state indicator, and carrying out intelligent predictive equipment maintenance. The state prompter is used for distinguishing a normal condition from a fault condition, training a machine learning model through an extracted state, predicting future behaviors of equipment or a system through analyzing historical data, and predicting whether the equipment is abnormal or not and whether a fault is about to occur or not. Data in equipment are collected and preprocessed, operation data of the equipment are analyzed through an AI prediction model to predict faults, the prediction model comprises statistical monitoring, the measured data are