METHOD AND APPARATUS FOR PREDICTIVE MAINTENANCE

    公开(公告)号:US20240250882A1

    公开(公告)日:2024-07-25

    申请号:US18408709

    申请日:2024-01-10

    CPC classification number: H04L41/147 H04L41/16

    Abstract: An apparatus for predictive maintenance, the apparatus comprising means for:



    Collecting a primary data bundle, wherein the primary data bundle comprises a first set of measurement time-series, wherein the first set of measurement time-series represents first alarms relating to a physical module of a telecommunications network,
    Processing maintenance data to determine whether the primary data bundle is associated with a maintenance intervention on the physical module,
    In response to determining that the primary data bundle is associated with a maintenance intervention, collecting a secondary data bundle, wherein the secondary data bundle comprises a second set of measurement time-series, wherein the second set of measurement time-series represents second alarms relating to the physical module,
    Training a predictive model using the primary data bundle and the secondary data bundle, wherein the predictive model is configured to compute an anomaly-related prediction.

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