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

Claim 9:
10. 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 cluster, by machine learning, a combination of one or more of process content data that describes a content of an inspection process to be executed by the device, an inspection condition by the device, and attribute data that describes an attribute of the device,
when the error occurs in the device after the learning device executes the machine learning, the computer system inputs a first combination of one or more of the process content data that describes the content of the inspection process to be executed by the device when the error occurs, the inspection condition when the error occurs, and the attribute data to the learning device, so as to classify the first combination into one of clusters obtained by the clustering, and
the computer system acquires an estimation result on whether or not the error occurs based on a result of the classification and outputs the estimation result,
 the computer system causes the learning device to learn the first combination when the error does not occur, the first combination is not clustered into one of the classifications, and the error is avoided through the recovery process, so as to generate a second learning unit configured to cluster the first combination when the error does not occur, at least one of the content of the inspection process, the inspection condition, or the attribute is abnormal, and the content of the inspection process, the inspection condition, and the attribute used in the recovery process are normal, and
when a new first combination is used, based on whether or not the new first combination is classified into one of clustering results by the second learning unit, the computer system acquires, from the second learning unit, an estimation result on whether or not the error does not occur, at least one of the content of the inspection process, the inspection condition, or the attribute is abnormal, and the content of the inspection process, the inspection condition, and the attribute used in the recovery process are normal.