Electric machine
    15.
    发明授权

    公开(公告)号:US11025104B2

    公开(公告)日:2021-06-01

    申请号:US15892962

    申请日:2018-02-09

    Abstract: An electric machine includes a stator assembly including a first stator segment and a second stator segment, the first and second stator segments each including a plurality of laminations extending generally along a circumferential direction, each pair of adjacent laminations of the first and second stator segments defining a gap therebetween. The first and second stator segments are assembled together such that the laminations of the first stator segment are arranged at least partially in the gaps between the laminations of the second stator segment.

    WEAKLY-SUPERVISED EVENT GROUPING ON INDUSTRIAL TIME-SERIES DATA

    公开(公告)号:US20210092000A1

    公开(公告)日:2021-03-25

    申请号:US16578624

    申请日:2019-09-23

    Inventor: Hao Huang

    Abstract: According to embodiments, a system, method and non-transitory computer-readable medium are provided to perform fault analysis of time series data including receiving a first set of time series data samples associated with one or more instances of one or more events of a piece of machinery, and receiving one or more labels identifying a relevance of a particular instance to a particular event. One or more event groups is determined based upon the data samples and the labels. Each event group is associated with one or more features of an event. Each data sample of a subset of the data samples is grouped into one of the event groups, and an event pattern is determined based upon the grouping. An event grouping model is constructed based upon the grouping. The event grouping model associates an event pattern with a particular feature of the one or more features of the event.

    SYSTEMS AND METHODS FOR MODEL-BASED TIME SERIES ANALYSIS

    公开(公告)号:US20210142161A1

    公开(公告)日:2021-05-13

    申请号:US16683007

    申请日:2019-11-13

    Abstract: A system for detecting an event is provided. The system includes a computing device including at least one processor in communication with at least one memory device. The at least one processor is programmed to execute a model for analyzing a time series of data, receive a labeled time series of data including a plurality of variables at a plurality of points in time, analyze the labeled time series of data, generate a causal graph of an event based on the analysis, calculate a predicted value for one or more variables of the plurality of variables at a specific point in time, compare the predicted value to an observed value for the one or more variables, and adjust the model based on the comparison.

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