Predictive maintenance device, method, and system for industrial machine

A method performed by a processor for predictive maintenance of an industrial machine, the method comprising:

• acquiring state data indicative of a state of a drive system of the industrial machine;
• inputting the state data into a determination model trained by machine learning to output a possibility of an abnormality for each of a plurality of components included in the drive system, the plurality of components being connected to each other so as to operate in conjunction with each other;
• acquiring the possibility of the abnormality for each of the plurality of components of the industrial machine output from the determination model;
• and
• determining the component to be maintained from the plurality of components based on the possibility of the abnormality in the plurality of components.

A predictive maintenance system comprising:

• an industrial machine;
• a storage device that stores state data indicative of a state of the industrial machine;
• a determination model trained by machine learning to output a possibility of an abnormality for each of a plurality of components included in a [[the]] drive system by inputting the state data, the plurality of components being connected to each other so as to operate in conjunction with each other;
• and
• a processor configured to
• acquire the possibility of the abnormality in each of the plurality of components from the state data by using the determination model, and
• determine the component to be maintained from the plurality of components based on the possibility of the abnormality in the plurality of components.