公开(公告)号：US12039619B2

公开(公告)日：2024-07-16

申请号：US17741709

申请日：2022-05-11

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. Wetherbee ,  Kenny C. Gross

IPC: G06Q10/20 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/0635 ,  G06Q50/06

CPC classification number: G06Q50/06 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/0635 ,  G06Q10/20

Abstract: Systems and methods are described that estimates a remaining useful life (RUL) of an electronic device. Time-series signals gathered from sensors in the electronic device are received. Statistical changes are detected in the set of time-series signals that are deemed as anomalous signal patterns. Anomaly alarms are generated, wherein an anomaly alarm is generated for each of the anomalous signal patterns. An irrelevance filter is applied to the set of anomaly alarms to produce filtered anomaly alarms, wherein the irrelevance filter removes anomaly alarms associated with anomalous signal patterns that are not correlated with previous failures of similar electronic devices. A logistic-regression model is used to compute an RUL-based risk index for the electronic device based on the filtered anomaly alarms. When the risk index exceeds a risk-index threshold, a notification is generated indicating that the electronic device has a limited remaining useful life.

公开(公告)号：US11726160B2

公开(公告)日：2023-08-15

申请号：US17694304

申请日：2022-03-14

Applicant: ORACLE INTERNATIONAL CORPORATION

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

IPC: G01R35/00 ,  G01R29/08

CPC classification number: G01R35/005 ,  G01R29/0814 ,  G01R29/0892

Abstract: Systems, methods, and other embodiments associated with automated calibration in electromagnetic scanners are described. In one embodiment, a method includes: detecting one or more peak frequency bands in electromagnetic signals collected by the electromagnetic scanner at a geographic location; comparing the one or more peak frequency bands to broadcast frequencies assigned to local radio stations of the geographic location; and indicating that the electromagnetic scanner is calibrated by finding at least one match between one peak frequency band of the peak frequency bands and one of the broadcast frequencies. An electromagnetic scanner may be recalibrated based on comparing the one or more peak frequency bands to broadcast frequencies.

公开(公告)号：US11367018B2

公开(公告)日：2022-06-21

申请号：US16732558

申请日：2020-01-02

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. Wetherbee ,  Kenny C. Gross ,  Guang C. Wang ,  Matthew T. Gerdes

IPC: G06F15/177 ,  G06N20/00 ,  H04L41/08 ,  H04L41/16 ,  H04L67/10 ,  H04L41/22 ,  H04L67/12 ,  G06N20/10

Abstract: Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.

公开(公告)号：US20200151618A1

公开(公告)日：2020-05-14

申请号：US16186365

申请日：2018-11-09

Applicant: Oracle International Corporation

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

IPC: G06N99/00 ,  G06N5/04 ,  G01R31/02

Abstract: During operation, the system obtains time-series sensor signals gathered from sensors in an asset during operation of the asset in an outdoor environment, wherein the time-series sensor signals include temperature signals. Next, the system produces thermally-compensated time-series sensor signals by performing a thermal-compensation operation on the temperature signals to compensate for variations in the temperature signals caused by dynamic variations in an ambient temperature of the outdoor environment. The system then trains a prognostic inferential model for a prognostic pattern-recognition system based on the thermally-compensated time-series sensor signals. During a surveillance mode for the prognostic pattern-recognition system, the system receives recently-generated time-series sensor signals from the asset, and performs a thermal-compensation operation on temperature signals in the recently-generated time-series sensor signals. Finally, the system applies the prognostic inferential model to the thermally-compensated, recently-generated time-series sensor signals to detect incipient anomalies that arise during operation of the asset.

公开(公告)号：US11720823B2

公开(公告)日：2023-08-08

申请号：US17825189

申请日：2022-05-26

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. Wetherbee ,  Kenny C. Gross ,  Guang C. Wang ,  Matthew T. Gerdes

IPC: G06F15/177 ,  G06N20/00 ,  H04L41/08 ,  H04L41/16 ,  H04L67/10 ,  H04L41/22 ,  H04L67/12 ,  G06N20/10

CPC classification number: G06N20/00 ,  G06N20/10 ,  H04L41/0883 ,  H04L41/16 ,  H04L41/22 ,  H04L67/10 ,  H04L67/12

Abstract: Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.

公开(公告)号：US11275144B2

公开(公告)日：2022-03-15

申请号：US16820807

申请日：2020-03-17

Applicant: ORACLE INTERNATIONAL CORPORATION

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

IPC: G01R35/00 ,  G01R29/08

Abstract: Systems, methods, and other embodiments associated with automated calibration of electromagnetic interference (EMI) fingerprint scanning instrumentation based on radio frequencies are described. In one embodiment, a method for detecting a calibration state of an EMI fingerprint scanning device includes: collecting electromagnetic signals with the EMI fingerprint scanning device for a test period of time at a geographic location; identifying one or more peak frequency bands in the collected electromagnetic signals; comparing the one or more peak frequency bands to assigned radio station frequencies at the geographic location to determine if a match is found; and generating a calibration state signal based at least in part on the comparing to indicate whether the EMI fingerprint scanning device is calibrated or not calibrated.

公开(公告)号：US11686756B2

公开(公告)日：2023-06-27

申请号：US17672928

申请日：2022-02-16

Applicant: ORACLE INTERNATIONAL CORPORATION

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

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

CPC classification number: G01R31/002 ,  G01R29/0814 ,  G01R29/0878 ,  G06F21/44

Abstract: Detecting a counterfeit status of a target device by: selecting a set of frequencies that best reflect load dynamics or other information content of a reference device while undergoing a power test sequence; obtaining target electromagnetic interference (EMI) signals emitted by the target 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 device undergoing the power test sequence to determine whether the target device and the reference 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.

公开(公告)号：US11099219B2

公开(公告)日：2021-08-24

申请号：US16295613

申请日：2019-03-07

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Edward R. Wetherbee

IPC: G01R19/25 ,  G06N20/00 ,  G06N5/04

Abstract: During a surveillance mode, the system receives present time-series signals gathered from sensors in the power transformer. Next, the system uses an inferential model to generate estimated values for the present time-series signals, and performs a pairwise differencing operation between actual values and the estimated values for the present time-series signals to produce residuals. The system then performs a sequential probability ratio test on the residuals to produce alarms having associated tripping frequencies (TFs). Next, the system uses a logistic-regression model to compute a risk index for the power transformer based on the TFs. If the risk index exceeds a threshold, the system generates a notification that the power transformer needs to be replaced. The system also periodically updates the logistic-regression model based on the results of periodic dissolved gas analyses for the transformer to more accurately compute the index for the power transformer.

公开(公告)号：US20210065316A1

公开(公告)日：2021-03-04

申请号：US16560629

申请日：2019-09-04

Applicant: Oracle International Corporation

Inventor： Edward R. Wetherbee ,  Kenny C. Gross

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

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.

公开(公告)号：US10685226B1

公开(公告)日：2020-06-16

申请号：US16292623

申请日：2019-03-05

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Andrew J. Lewis ,  Edward R. Wetherbee

IPC: G06K9/00

Abstract: The disclosed embodiments provide a system that detects counterfeit electronic components in a target device, which is part of an electrical generation and distribution system. During operation, the system obtains target EMI signals, which were gathered by monitoring target electromagnetic interference (EMI) emissions generated by the target device using one or more target antennas positioned in proximity to the target device. Next, the system generates a target EMI fingerprint for the target device from the target EMI signals. Finally, the system compares the target EMI fingerprint against a reference EMI fingerprint for the target device to determine whether the target device contains one or more counterfeit electronic components.