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    GEOMETRIC AGING DATA REDUCTION FOR MACHINE LEARNING APPLICATIONS
    114.
    发明申请
    GEOMETRIC AGING DATA REDUCTION FOR MACHINE LEARNING APPLICATIONS 有权

    公开(公告)号：US20220413481A1

    公开(公告)日：2022-12-29

    申请号：US17361189

    申请日：2021-06-28

    Applicant: Oracle International Corporation

    Inventor： Dieter Gawlick ,  Matthew Torin Gerdes ,  Kirk Bradley ,  Anna Chystiakova ,  Zhen Hua Liu ,  Guang Chao Wang ,  Kenny C. Gross

    IPC: G05B23/02 ,  G06K9/62 ,  G06N20/00 ,  G06F11/34

    Abstract: Techniques for geometric aging data reduction for machine learning applications are disclosed. In some embodiments, an artificial-intelligence powered system receives a first time-series dataset that tracks at least one metric value over time. The system then generates a second time-series dataset that includes a reduced version of a first portion of the time-series dataset and a non-reduced version of a second portion of the time-series dataset. The second portion of the time-series dataset may include metric values that are more recent than the first portion of the time-series dataset. The system further trains a machine learning model using the second time-series dataset that includes the reduced version of the first portion of the time-series dataset and the non-reduced version of the second portion of the time-series dataset. The trained model may be applied to reduced and/or non-reduced data to detect multivariate anomalies and/or provide other analytic insights.

    IMPUTATION-BASED SAMPLING RATE ADJUSTMENT OF PARALLEL DATA STREAMS
    115.
    发明申请
    IMPUTATION-BASED SAMPLING RATE ADJUSTMENT OF PARALLEL DATA STREAMS 有权

    公开(公告)号：US20220383033A1

    公开(公告)日：2022-12-01

    申请号：US17303427

    申请日：2021-05-28

    Applicant: Oracle International Corporation

    Inventor： John Frederick Courtney ,  Guang Chao Wang ,  Matthew Torin Gerdes ,  Kenny C. Gross

    IPC: G06K9/62

    Abstract: Techniques for generating imputation-based, uniformly sampled parallel streams of time-series data are disclosed. A system divides into two subsets a dataset made up of multiple data streams. The data streams include interpolated data. The system trains one data correlation model using one subset of the data and applies the trained model to the other subset. The system replaces the interpolated values in the other subset with estimated values generated by the model. The system trains another data correlation model using the revised subset. The system applies the new model to the initial subset to generate estimated values for the initial subset. The system replaces the interpolated values in the initial subset with the estimated values. The system repeats the process of training data correlation models and revising previously-interpolated data points in the subsets of data until a predetermined iteration threshold is met.

    Counterfeit device detection using EMI fingerprints
    116.
    发明授权
    Counterfeit device detection using EMI fingerprints 有权

    公开(公告)号：US11460500B2

    公开(公告)日：2022-10-04

    申请号：US16784506

    申请日：2020-02-07

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Edward R. Wetherbee ,  Guang C. Wang ,  Kenny C. Gross ,  Michael Dayringer ,  Andrew Lewis ,  Matthew T. Gerdes

    IPC: G01R31/28 ,  G01R31/302 ,  G06F21/55 ,  G06K9/62 ,  G01R31/00 ,  G06K9/00

    Abstract: Detecting whether a target device that includes multiple electronic components is genuine or suspected counterfeit by: performing a test sequence of energizing and de-energizing the target device and collecting electromagnetic interference (EMI) signals emitted by the target device; generating a target EMI fingerprint from the EMI signals collected; retrieving a plurality of reference EMI fingerprints from a database library, each of which corresponds to a different configuration of electronic components of a genuine device of the same make and model as the target device; iteratively comparing the target EMI fingerprint to the retrieved reference EMI fingerprints and generating a similarity metric between each compared set; and indicating that the target device (i) is genuine where the similarity metric for any individual reference EMI fingerprint satisfies a threshold test, and is a suspect counterfeit device where no similarity metric for any individual reference EMI fingerprint satisfies the test.

    ESTIMATING THE REMAINING USEFUL LIFE FOR COOLING FANS BASED ON A WEAR-OUT INDEX ANALYSIS
    117.
    发明申请
    ESTIMATING THE REMAINING USEFUL LIFE FOR COOLING FANS BASED ON A WEAR-OUT INDEX ANALYSIS 有权

    公开(公告)号：US20220187821A1

    公开(公告)日：2022-06-16

    申请号：US17688150

    申请日：2022-03-07

    Applicant: Oracle International Corporation

    Inventor： Kenny C. Gross ,  Anton A. Bougaev ,  Aleksey M. Urmanov ,  David K. McElfresh

    IPC: G05B23/02 ,  H05K7/20 ,  G06F1/3215 ,  G06F11/30

    Abstract: The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.

    Using an irrelevance filter to facilitate efficient RUL analyses for utility system assets
    118.
    发明授权
    Using an irrelevance filter to facilitate efficient RUL analyses for utility system assets 有权

    公开(公告)号：US11341588B2

    公开(公告)日：2022-05-24

    申请号：US16560629

    申请日：2019-09-04

    Applicant: Oracle International Corporation

    Inventor： Edward R. Wetherbee ,  Kenny C. Gross

    IPC: G06Q50/00 ,  G06Q50/06 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/06 ,  G06Q10/00

    Abstract: During operation, the system receives time-series signals gathered from sensors in a utility system asset. Next, the system uses an inferential model to generate estimated values for the time-series signals, and performs a pairwise differencing operation between actual values and the estimated values for the time-series signals to produce residuals. The system then performs a sequential probability ratio test (SPRT) on the residuals to produce SPRT alarms. Next, the system applies an irrelevance filter to the SPRT alarms to produce filtered SPRT alarms, wherein the irrelevance filter removes SPRT alarms for signals that are uncorrelated with previous failures of similar utility system assets. The system then uses a logistic-regression model to compute an RUL-based risk index for the utility system asset based on the filtered SPRT alarms. When the risk index exceeds a threshold, the system generates a notification indicating that the utility system asset needs to be replaced.

    Estimating the remaining useful life for cooling fans based on a wear-out index analysis
    119.
    发明授权
    Estimating the remaining useful life for cooling fans based on a wear-out index analysis 有权

    公开(公告)号：US11307568B2

    公开(公告)日：2022-04-19

    申请号：US16260082

    申请日：2019-01-28

    Applicant: Oracle International Corporation

    Inventor： Kenny C. Gross ,  Anton A. Bougaev ,  Aleksey M. Urmanov ,  David K. McElfresh

    IPC: G05B23/02 ,  G06F1/3215 ,  G06F11/30 ,  H05K7/20

    Abstract: The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.

    High sensitivity detection and identification of counterfeit components in utility power systems via EMI frequency kiviat tubes
    120.
    发明授权
    High sensitivity detection and identification of counterfeit components in utility power systems via EMI frequency kiviat tubes 有权

    公开(公告)号：US11255894B2

    公开(公告)日：2022-02-22

    申请号：US16804531

    申请日：2020-02-28

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Edward R. Wetherbee ,  Rui Zhong ,  Kenny C. Gross ,  Guang C. Wang

    IPC: G01R31/00 ,  G01R29/08 ,  G06F21/44

    Abstract: Detecting a counterfeit status of a target utility device by: selecting a set of frequencies that best reflect load dynamics or other information content of a reference utility device while undergoing a power test sequence; obtaining target electromagnetic interference (EMI) signals emitted by the target utility device while undergoing the same power test sequence; creating a sequence of target kiviat plots from the amplitude of the target EMI signals at each of the set of frequencies at observations over the power test sequence to form a target kiviat tube EMI fingerprint; comparing the target kiviat tube EMI fingerprint to a reference kiviat tube EMI fingerprint for the reference utility device undergoing the power test sequence to determine whether the target utility device and the reference utility device are of the same type; and generating a signal to indicate a counterfeit status based at least in part on the results of the comparison.

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