Fault prediction method and fault prediction system for predecting a fault of a machine

A fault prediction system configured to predict a fault of a machine, the fault prediction system comprising:

• one or more memories;
• and
• one or more processors configured to:
• obtain a state variable including at least one of output data from at least one sensor that detects a state of at least one of the machine or a surrounding environment, internal data of control software controlling the machine, or computational data obtained based on at least one of the output data or the internal data;
• generate, by inputting the obtained state variable into a machine learning model, a degree of fault of the machine based on output from the machine learning model;
• and
• notify, before the fault of the machine occurs, information based on the generated degree of fault, wherein
• the notified information includes at least one of the generated degree of fault or a level of fault based on the generated degree of fault, and
• the one or more processors are configured to notify the information by displaying, on a display device,
• a graph having a first axis representing a passage of time and a second axis representing a value regarding the degree of fault generated based on the output from the machine learning model, and
• the at least one of the generated degree of fault or the level of fault at time points in the graph,
• wherein the displaying includes displaying, on the display device, information related to a comparison between the generated degree of fault and one or more thresholds for the generated degree of fault.

A non-transitory computer readable medium storing therein a program which, when executed by one or more processors, cause the one or more processors to perform a method comprising:

• obtaining, by the one or more processors, a state variable including at least one of output data from at least one sensor that detects a state of at least one of the machine or a surrounding environment, internal data of control software controlling the machine, or computational data obtained based on at least one of the output data or the internal data;
• generating, by the one or more processors and by inputting the obtained state variable into a machine learning model a degree of fault of the machine based on output from the machine learning model;
• and
• notifying, by the one or more processors, before the fault of the machine occurs, information based on the generated degree of fault, wherein
• the notified information includes at least one of the generated degree of fault of a level of fault based on the generated degree of fault, and
• the notifying comprises displaying, on a display device,
• a graph having a first axis representing a passage of time and a second axis representing a value regarding the degree of fault generated based on the output from the machine learning model, and
• the at least one of the generated degree of fault or the level of fault at time points in the graph,
• wherein the displaying includes displaying, on the display device, information related to a comparison between the generated degree of fault and one or more thresholds for the generated degree of fault.