公开(公告)号：US11860974B2

公开(公告)日：2024-01-02

申请号：US17090112

申请日：2020-11-05

Applicant: Oracle International Corporation

Inventor： Guang C. Wang ,  Kenny C. Gross ,  Zexi Chen

IPC: G06F18/00 ,  G06F18/214 ,  G06F11/30 ,  H04L9/40 ,  G06N5/04 ,  G06F18/231 ,  G06N7/01

CPC classification number: G06F18/2148 ,  G06F11/3075 ,  G06F11/3089 ,  G06F18/231 ,  G06N5/04 ,  G06N7/01 ,  H04L63/1416 ,  H04L63/1425

Abstract: A system is provided for training an inferential model based on selected training vectors. During operation, the system receives training data comprising observations for a set of time-series signals gathered from sensors in a monitored system during normal fault-free operation. Next, the system divides the observations into N subgroups comprising non-overlapping time windows of observations. The system then selects observations with a local minimum value and a local maximum value for all signals from each subgroup to be training vectors for the inferential model. Finally, the system trains the inferential model using the selected training vectors. Note that by selecting observations with local minimum and maximum values to be training vectors, the system maximizes an operational range for the training vectors, which reduces clipping in estimates subsequently produced by the inferential model and thereby reduces false alarms.

公开(公告)号：US11729940B2

公开(公告)日：2023-08-15

申请号：US17716489

申请日：2022-04-08

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Matthew T. Gerdes ,  James Rohrkemper ,  Sanjeev R. Sondur ,  Kenny C. Gross ,  Guang C. Wang

IPC: G06F1/16 ,  H05K5/00 ,  H05K7/00 ,  H05K7/20

CPC classification number: H05K7/20209 ,  H05K7/207 ,  H05K7/20136 ,  H05K7/20627

Abstract: Systems, methods, and other embodiments associated with unified control of cooling in computers are described. In one embodiment, a method locks operation of first and second cooling mechanisms configured to cool one or more components in the computer. In response to a first condition, the method unlocks the operation of the first cooling mechanism to allow the first cooling mechanism to make cooling adjustments while the operation of the second cooling mechanism is locked. In response to a second condition, the method unlocks the operation of the second cooling mechanism to allow the second cooling mechanism to make cooling adjustments while the operation of the first cooling mechanism is locked. In the method, the first cooling mechanism and the second cooling mechanism are prevented from making the cooling adjustments simultaneously.

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：US20230121897A1

公开(公告)日：2023-04-20

申请号：US17506200

申请日：2021-10-20

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Yixiu Liu ,  Matthew T. Gerdes ,  Guang C. Wang ,  Kenny C. Gross ,  Hariharan Balasubramanian

IPC: G01N29/44 ,  G01N29/46 ,  G01N29/14 ,  G06N20/00

Abstract: Systems, methods, and other embodiments associated with autonomous discrimination of operation vibration signals are described herein. In one embodiment, a method includes partitioning a frequency spectrum of output into a plurality of discrete bins, wherein the output is collected from vibration sensors monitoring a reference device; generating a representative time series signal for each bin while the device is operated in a deterministic stress load; generating a PSD for each bin by converting each signal from the time domain to the frequency domain; determining a maximum power spectral density value and a peak frequency value for each bin; selecting a subset of the bins that have maximum PSD values exceeding a threshold; assigning the representative time series signals from the selected subset of bins as operation vibration signals indicative of operational load on the reference device; and configuring a machine learning model based on at least the operation vibration signals.

公开(公告)号：US20230008658A1

公开(公告)日：2023-01-12

申请号：US17368840

申请日：2021-07-07

Applicant: Oracle International Corporation

Inventor： Richard P. Sonderegger ,  Kenneth P. Baclawski ,  Guang C. Wang ,  Anna Chystiakova ,  Dieter Gawlick ,  Zhen Hua Liu ,  Kenny C. Gross

IPC: G05B23/02 ,  G06N20/00 ,  G05B13/02 ,  G05B15/02

Abstract: The disclosed embodiments relate to a system that automatically adapts a prognostic-surveillance system to account for aging phenomena in a monitored system. During operation, the prognostic-surveillance system is operated in a surveillance mode, wherein a trained inferential model is used to analyze time-series signals from the monitored system to detect incipient anomalies. During the surveillance mode, the system periodically calculates a reward/cost metric associated with updating the trained inferential model. When the reward/cost metric exceeds a threshold, the system swaps the trained inferential model with an updated inferential model, which is trained to account for aging phenomena in the monitored system.

公开(公告)号：US20220365820A1

公开(公告)日：2022-11-17

申请号：US17318795

申请日：2021-05-12

Applicant: Oracle International Corporation

Inventor： Wei Jiang ,  Guang C. Wang ,  Kenny C. Gross

IPC: G06F9/50 ,  G06N20/00 ,  G06F9/455

Abstract: We disclose a system that executes an inferential model in VRAM that is embedded in a set of graphics-processing units (GPUs). The system obtains execution parameters for the inferential model specifying: a number of signals, a number of training vectors, a number of observations and a desired data precision. It also obtains one or more formulae for computing memory usage for the inferential model based on the execution parameters. Next, the system uses the one or more formulae and the execution parameters to compute an estimated memory footprint for the inferential model. The system uses the estimated memory footprint to determine a required number of GPUs to execute the inferential model, and generates code for executing the inferential model in parallel while efficiently using available memory in the required number of GPUs. Finally, the system uses the generated code to execute the inferential model in the set of GPUs.

公开(公告)号：US11412387B2

公开(公告)日：2022-08-09

申请号：US17230156

申请日：2021-04-14

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Ashin George ,  Guang C. Wang

IPC: G06F21/75 ,  H04L9/40 ,  H04W12/79 ,  H04W12/108

Abstract: The disclosed embodiments relate to a system that camouflages EMI fingerprints in EMI emissions from a computing system to enhance system security. During operation, the system monitors the EMI emissions from the computer system during operation of the computer system to produce corresponding EMI signals. Next, the system determines a dynamic amplitude of the EMI emissions based on the EMI signals. If the dynamic amplitude of the EMI emissions drops below a threshold value, the system executes synthetic transactions, which have interarrival times that, when superimposed on a workload of the computer system, cause the computer system to produce randomized EMI emissions.

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：US20210081573A1

公开(公告)日：2021-03-18

申请号：US16572439

申请日：2019-09-16

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Guang C. Wang ,  Michael H.S. Dayringer ,  Andrew J. Lewis

IPC: G06F21/73 ,  G06F21/55

Abstract: The disclosed embodiments provide a system that generates a reference EMI fingerprint to be used in detecting unwanted electronic components in a target asset. During operation, the system gathers reference EMI signals generated by a reference asset while the reference asset is executing a periodic workload, wherein the reference asset is of the same type as the target asset and is certified not to contain unwanted electronic components. Next, the system divides the reference EMI signals into a set of profiles, which comprise EMI signals for non-overlapping time intervals of a fixed size. The system then temporally aligns and merges profiles in the set of profiles to produce a reference profile. Next, the system generates the reference EMI fingerprint from the reference profile. Finally, the system compares a target EMI fingerprint for the target asset against the reference EMI fingerprint to determine whether the target asset contains unwanted electronic components.

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.