Information processing method and information processing apparatus used for detecting a sign of malfunction of mechanical equipment

An information processing method for a controller to determine a state of mechanical equipment, the information processing method comprising:

• a measured value acquisition step of acquiring measured values measured by a sensor provided in the mechanical equipment;
• a first model acquisition step of the controller acquiring a first model by machine learning using the acquired measured values that are measured in a first period;
• a second model acquisition step of the controller acquiring a second model by machine learning using the acquired measured values that are measured in a second period after an occurrence of a trigger event in the mechanical equipment;
• and
• a determination step of the controller determining a state of the mechanical equipment by using the first model, the second model, and the acquired measured values that are measured when the controller determines the state of the mechanical equipment,
• wherein, in the second model acquisition step, the trigger event is a replacement of a part installed in the mechanical equipment, and the controller acquires the second model by machine learning using the acquired measured values that are measured in a period after the replacement of the part, the second model being different from the first model.