MONITORING SYSTEM, METHOD OF MONITORING AND STORAGE MEDIUM

    公开(公告)号:US20240280404A1

    公开(公告)日:2024-08-22

    申请号:US18571377

    申请日:2021-06-28

    CPC classification number: G01H9/004 G01D5/35361

    Abstract: It is difficult to find corresponding between a point on an optical fiber and a point on a monitoring target, therefore, a monitoring system comprises an acquisition means for acquiring a plurality of amplitudes of vibrations for points on an optical fiber based on light propagating the optical fiber attached to a monitoring target, a generation means for generating a vibration mode of the monitoring target based on the plurality of amplitudes and a detection means for detecting a point on the monitoring target corresponding a point on the optical fiber based on the vibration mode.

    UNSUPERVISED DISAGGREGATION APPARATUS, METHOD AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20210406341A1

    公开(公告)日:2021-12-30

    申请号:US17295520

    申请日:2018-11-26

    Abstract: An unsupervised disaggregation method includes estimating, from an observation matrix X, by using a latent feature model approach, a binary matrix Z and a latent feature matrix W; calculating a dot product of the matrix W and a D dimensional vector x; repeating, for each row of the matrix W, checking that the dot product value for the row of the matrix W with the vector x is negative to discard the row from the matrix W and a corresponding column from the binary matrix Z; if any discarded row present in the matrix W, updating the matrices W and Z using new matrix Wnew and Znew including respectively un-discarded rows of the matrix W, and un-discarded columns of the matrix Z to iterate from the estimation of the matrices W and Z from the matrix X, until no row discarded in the matrix W.

    PERIODICITY ANALYSIS APPARATUS, METHOD AND PROGRAM RECORDING MEDIUM

    公开(公告)号:US20210373543A1

    公开(公告)日:2021-12-02

    申请号:US17263734

    申请日:2018-08-03

    Abstract: Provided an apparatus configured to calculate a periodicity of the time series data using at least one of a periodogram of the time series data and an autocorrelation of the 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, and categorize the plurality of subsequences, based on the features values thereof, into one or more groups; and execute analysis of the time series data, based on the categorization result.

    MODEL STRUCTURE SELECTION APPARATUS, METHOD, DISAGGREGATION SYSTEM AND PROGRAM

    公开(公告)号:US20210097417A1

    公开(公告)日:2021-04-01

    申请号:US16635282

    申请日:2017-08-03

    Abstract: Provided an apparatus that receives time series data from a data storage unit storing time series of sample data or feature values calculated from the sample data, computes a measure indicating change and repetition characteristics of the time series data, based on sample value distribution thereof, selects a state model structure to be used for model learning and estimation, from state models including a fully connected state model and a one way direction state model, based on the measure and stores the selected state model in a model storage unit.

    VEHICLE WEIGHT ESTIMATION APPARATUS, VEHICLE WEIGHT ESTIMATION METHOD, AND COMPUTER READABLE RECORDING MEDIUM

    公开(公告)号:US20220283015A1

    公开(公告)日:2022-09-08

    申请号:US17637604

    申请日:2019-11-20

    Abstract: A vehicle weight estimation apparatus 10 includes: a collecting unit 11 that collects vibration information indicating vibration output from a sensor 25 installed to a structure having a vibration-generating structure that generates vibration upon passage of a vehicle 30; an axle response extracting unit 12 that detects, by using the vibration information, axle responses indicating the passage of one or more axles of the vehicle 30 over the vibration-generating structure; an axle index calculating unit 13 that calculates axle indices corresponding to the individual axles based on the axle responses; a converting unit 14 that converts the axle indices into axle weights by referring to conversion information that is stored in advance and that indicates a relationship between axle indices and axle weights; and a vehicle weight calculating unit 15 that calculates the weight of the vehicle by totaling the axle weights of the individual axles.

    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.

    MEASURMENT APPARATUS AND METHOD
    7.
    发明申请

    公开(公告)号:US20210293861A1

    公开(公告)日:2021-09-23

    申请号:US17262518

    申请日:2018-07-23

    Abstract: Provided a method including applying a Fourier Transform to an AC current waveform measured to perform conversion thereof to a frequency domain; adjusting entire phase components of frequency spectra obtained as a result of the Fourier Transform, such that a phase component of an AC power supply frequency becomes zero; and applying an inverse Fourier Transform to the frequency spectra with the entire phase components thereof adjusted to obtain a current waveform in a time domain.

    EVENT DETECTION APPARATUS, METHOD AND PROGRAM

    公开(公告)号:US20230184621A1

    公开(公告)日:2023-06-15

    申请号:US17802636

    申请日:2020-03-12

    Abstract: Provided an apparatus including: a signal acquisition part that acquires an oscillation signal from a sensor that detects an oscillation induced in a target object; and an estimation part that obtains a feature value for each frame of the oscillation signal by applying Fourier transform to each frame extracted by a window of a predetermined length to calculate the feature value for the each frame in a frequency domain, and performs Gaussian mixture model-clustering on a time series of the feature values for respective frames to estimate one or more clusters, each of which is modeled with a Gaussian probability distribution best fit to the time series, and detect one or more events by detecting one or more corresponding clusters, a probability density value thereof greater than a predetermined threshold value.

    VEHICLE DETECTION APPARATUS, METHOD AND PROGRAM

    公开(公告)号:US20230154314A1

    公开(公告)日:2023-05-18

    申请号:US17908597

    申请日:2020-03-12

    CPC classification number: G08G1/0133 G01V1/001 G01V1/30 G01V1/325 G01V1/364

    Abstract: An apparatus includes a signal acquisition part acquires oscillation signals from sensors provided under lanes of a bridge and close to an expansion joint, a signal separation part applies BSS to the oscillation signals to estimate source oscillation signals respectively separated in the plurality of lanes, and adjusts amplitude of the source oscillation signals to output amplitude adjusted oscillation signals, and a vehicle estimation part estimates, from the amplitude adjusted oscillation signal, a response oscillation due to a vehicle passing on the lane of interest to detect and count vehicles passing on the lane.

    SIGNAL ANALYSIS METHOD, AND APPARATUS FOR THREE-PHASE SYSTEM, AND PROGRAM

    公开(公告)号:US20220283209A1

    公开(公告)日:2022-09-08

    申请号:US17636424

    申请日:2019-08-29

    Abstract: The present invention provides an apparatus and method enabling to perform a 2-dimensional trajectory analysis applicable for a three-phase system. A signal analysis apparatus generates a three-row and N-column waveform matrix constituted by three N dimensional row vectors having respectively N samples of first to third phase current values obtained from three-phase current signals measured in a three-phase system, where N is the number of samples of each of the three-phase current signals in one cycle of an AC power supply; applies transformation to the waveform matrix to obtain a two-row and N-column matrix constituted by the first and second N dimensional row vectors; performs normalization in amplitude of the first and second N dimensional row vectors, respectively; selects a grid size based on the sample number N; and maps a two dimensional trajectory made up from the first and second normalized N dimensional row vectors on a grid with the grid size selected.

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