MAGNETIC GEARED ELECTRICAL MACHINE AND POWER GENERATION SYSTEM USING THE SAME

    公开(公告)号:US20240097546A1

    公开(公告)日:2024-03-21

    申请号:US18272903

    申请日:2022-01-25

    IPC分类号: H02K49/10 H02K9/18

    CPC分类号: H02K49/102 H02K9/18 H02K7/183

    摘要: A magnetic geared electrical machine includes: a stator including a stator coil; a first rotor including a plurality of pole pieces; a second rotor including a plurality of rotor magnets, and arranged opposite to the stator across the first rotor in a radial direction; a housing having a first inlet opening and a second inlet opening, and supporting the stator; a first inlet cavity defined by at least the housing so as to communicate with the first inlet opening provided in the housing and with a first radial gap between the stator and the first rotor; and a second inlet cavity defined by at least the housing so as to communicate with the second inlet opening provided in the housing and with a second radial gap between the first rotor and the second rotor.

    Facility condition monitoring device and facility condition monitoring method

    公开(公告)号:US10935458B2

    公开(公告)日:2021-03-02

    申请号:US15935775

    申请日:2018-03-26

    摘要: A facility condition monitoring device includes an abnormality-degree-calculation-model construction part which constructs an abnormality-degree-calculation model for calculating an abnormality degree of a monitoring feature group of a monitoring target facility, based on a normal feature group extracted from a state-quantity fluctuation data of the monitoring target facility, an abnormality degree calculation part which calculates the abnormality degree of the monitoring feature group with the abnormality-degree-calculation model, an abnormality determination part which determines whether the monitoring target facility is abnormal, based on the abnormality degree, an abnormality-contribution-rate calculation part which obtains a contribution rate of each feature constituting the monitoring feature group used for calculating the abnormality degree determined as abnormal by the abnormality determination part, and an abnormality cause identification part which identifies an abnormality cause of the monitoring target facility, based on the contribution rate and a cause-and-effect matrix representing a relationship between the abnormality cause and the features.