Patent ID: 11899437
Assignee: HITACHI HIGH-TECH CORPORATION
Field: Control (Instruments)
Classification: CPC G  H | IPC G

Claim 2:
3. A diagnosis system that diagnoses a state of a device for measuring or inspecting a sample, the diagnosis system comprising:
a computer system configured to estimate a cause for an error occurring in the device,
wherein the computer system includes a learning device configured to learn, by machine learning, a correspondence between at least one of a recipe that defines an operation of the device, log data that describes the state of the device, or sample data that describes characteristics of the sample and a type of the error,
when the error occurs in the device after the learning device executes the machine learning, the computer system inputs at least one of the recipe used by the device when the error occurs, the log data when the error occurs, or the sample data when the error occurs to the learning device, so as to acquire an estimation result for at least one cause of the recipe, the state of the device, or the characteristics of the sample among the causes for the error as an output of the learning device and to output the estimation result,
wherein the learning device further learns that the error does not occur in association with at least one of the recipe, the log data, or the sample data obtained when the error does not occur,
the learning device further learns an event probability of the error in association with the type of the error,
the learning device further learns that the error does not occur in association with a non-event probability of the error,
after the learning device executes the machine learning, the computer system inputs at least one of the recipe, the log data, or the sample data to the learning device, so as to acquire the event probability and the non-event probability as an output of the learning device, and
the computer system diagnoses a degree of prediction to which the error occurs based on the event probability and the non-event probability and outputs the diagnosis result.