LEARNING APPARATUS, LEARNING METHOD, AND FAILURE PREDICTION SYSTEM

    公开(公告)号:US20230297854A1

    公开(公告)日:2023-09-21

    申请号:US18324051

    申请日:2023-05-25

    CPC classification number: G06N5/022

    Abstract: The learning apparatus according to one exemplary embodiment includes: a pattern extractor that extracts a time fluctuation pattern of an amplitude of a feature frequency from state observation signal data up to a first time point, the state observation signal data indicating an operation state of equipment, the feature frequency being associated with a part of the equipment; a training data generator that generates, based on the time fluctuation pattern of the amplitude of the feature frequency, simulated state observation signal data representing the time fluctuation pattern of the amplitude of the feature frequency at and after the first time point, and generates training data including the simulated state observation signal data; and a learner that generates a classification model for determination of a failure state of the part of the equipment using the training data.

    DIAGNOSIS DEVICE, DIAGNOSIS SYSTEM, AND DIAGNOSIS METHOD

    公开(公告)号:US20250138519A1

    公开(公告)日:2025-05-01

    申请号:US18684108

    申请日:2022-08-12

    Abstract: A diagnosis device includes: an obtainer that obtains operation data about equipment; an identifier that identifies a reproduction model using the operation data obtained by the obtainer; a reproduction data generator that generates reproduction data about the equipment based on the reproduction model identified by the identifier; a diagnosis model generator that performs machine learning using the reproduction data generated by the reproduction data generator, to generate a diagnosis model of the equipment; a diagnoser that diagnoses the equipment based on the diagnosis model generated by the diagnosis model generator; and a display that is an example of an outputter for outputting a diagnosis result provided by the diagnoser.

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