ANOMALY DETECTION APPARATUS, METHOD, AND PROGRAM RECORDING MEDIUM

    公开(公告)号:US20210109833A1

    公开(公告)日:2021-04-15

    申请号:US16981101

    申请日:2018-03-26

    Abstract: An anomaly detection apparatus estimates time series data of a first signal of each appliance by disaggregating an aggregate signal that is a sum of first signals of a plurality of appliances into each first signal of an individual appliance, calculates a residual by subtracting sum of the estimated first signals of the plurality of appliances from the aggregate signal, and obtains value of the second signal at a time point at which the residual indicates presence of anomaly, and checks if there is match of pair of value of the estimated first signal and estimated state of the appliance, with any one of the one or more pairs of value of the first signal and state of the appliance, stored in a table, in association with the value of the second signal at the time point at which the residual indicates presence of anomaly to identify appliance with anomaly.

    WAVEFORM DISAGGREGATION APPARATUS, METHOD AND NON-TRANSITORY MEDIUM

    公开(公告)号:US20190277894A1

    公开(公告)日:2019-09-12

    申请号:US16331193

    申请日:2017-09-11

    Abstract: A waveform disaggregation apparatus includes a storage apparatus that stores, as a model of an operation state of a unit, a first state transition model including a segment in which each state transition occurs along a one directional single path; and an estimation section that receives a composite signal waveform of a plurality of units including a first unit that operates based on the first state transition model and that at least based on the first state transition model, performs estimation of a signal waveform of the first unit from the composite signal waveform to separate the signal waveform therefrom.

    INFORMATION PROVIDING APPARATUS, INFORMATION PROVIDING METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20180255372A1

    公开(公告)日:2018-09-06

    申请号:US15754366

    申请日:2016-08-03

    Abstract: Provided is an information providing apparatus (10) including a reliability determination unit (11) that determines a reliability of an inference result obtained by inferring an operation state of a monitored electric device group, on the basis of time-series measurement data and training data, the time-series measurement data including any one of current consumption and power consumption of the monitored electric device group and the training data associating each of a plurality of the operation states which can be assumed by the electric device group with a feature value of each of the plurality of operation states, and an output unit (12) that outputs information related to the reliability.

    Thermoelectric Conversion Element and Method for Making the Same
    9.
    发明申请
    Thermoelectric Conversion Element and Method for Making the Same 审中-公开
    热电转换元件及其制作方法

    公开(公告)号:US20150372213A1

    公开(公告)日:2015-12-24

    申请号:US14762674

    申请日:2014-01-17

    Abstract: In order to further improve the spin-current/electric-current conversion efficiency in a spin-current thermoelectric conversion element, a thermoelectric conversion element includes a magnetic material layer having in-plane magnetization; and an electromotive material layer magnetically coupled with the magnetic material layer. The electromotive material layer includes a first conductor with a spin orbit coupling arising, and a second conductor having lower electric conductivity than electric conductivity of the first conductor.

    Abstract translation: 为了进一步提高自旋电流热电转换元件的自旋电流/电流转换效率,热电转换元件包括具有面内磁化强度的磁性材料层; 以及与磁性材料层磁耦合的电动材料层。 电动材料层包括具有自旋轨道耦合的第一导体和具有比第一导体的电导率低的导电性的第二导体。

    EVENT MONITORING APPARATUS, METHOD AND PROGRAM RECORDING MEDIUM

    公开(公告)号:US20210374031A1

    公开(公告)日:2021-12-02

    申请号:US17263728

    申请日:2018-08-03

    Abstract: Provided an apparatus configured to calculate a periodicity of time series data, generate a plurality of subsequences, from the time series data, a length of each subsequence set to the periodicity, calculate feature values of the plurality of subsequences; categorize the plurality of subsequences, based on the feature values thereof, into one or more groups, find a periodicity of the subsequences belonging in common to one group, based on an occurrence order of the subsequences belonging in common to the one group and perform missing event detection by identifying the subsequence, occurrence of which is expected according to the periodicity of the subsequences belonging in common to the one group, but not found.

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