公开(公告)号：US12099911B2

公开(公告)日：2024-09-24

申请号：US18076494

申请日：2022-12-07

Applicant: Strong Force IoT Portfolio 2016, LLC

Inventor： Charles Howard Cella ,  Gerald William Duffy, Jr. ,  Jeffrey P. McGuckin ,  Mehul Desai

IPC: G06N3/006 ,  B62D15/02 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/02 ,  G05B19/418 ,  G05B23/02 ,  G06F18/21 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/778 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/00 ,  H04L1/18 ,  H04L1/1867 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/04 ,  G05B19/042 ,  G06F17/18 ,  G06F18/25 ,  G06N3/126 ,  H01B17/40 ,  H04B17/29 ,  H04B17/40 ,  H04L5/00 ,  H04L67/306

CPC classification number: G06N3/006 ,  B62D15/0215 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/028 ,  G05B19/4183 ,  G05B19/4184 ,  G05B19/41845 ,  G05B19/4185 ,  G05B19/41865 ,  G05B19/41875 ,  G05B23/0221 ,  G05B23/0229 ,  G05B23/024 ,  G05B23/0264 ,  G05B23/0283 ,  G05B23/0286 ,  G05B23/0289 ,  G05B23/0291 ,  G05B23/0294 ,  G05B23/0297 ,  G06F18/2178 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/0278 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/7784 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/0002 ,  H04L1/0041 ,  H04L1/18 ,  H04L1/1874 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/0463 ,  G05B19/042 ,  G05B23/02 ,  G05B23/0208 ,  G05B2219/32287 ,  G05B2219/35001 ,  G05B2219/37337 ,  G05B2219/37351 ,  G05B2219/37434 ,  G05B2219/37537 ,  G05B2219/40115 ,  G05B2219/45004 ,  G05B2219/45129 ,  G06F17/18 ,  G06F18/21 ,  G06F18/217 ,  G06F18/25 ,  G06N3/126 ,  H01B17/40 ,  H04B17/29 ,  H04B17/40 ,  H04L1/0009 ,  H04L5/0064 ,  H04L67/306 ,  Y02P80/10 ,  Y02P90/02 ,  Y02P90/80 ,  Y04S50/00 ,  Y04S50/12 ,  Y10S707/99939

Abstract: System and methods for learning data patterns predictive of an outcome are described. An example system may include a plurality of input sensors communicatively coupled to a controller; a data collection circuit structured to collect output data from the plurality of input sensors; and a machine learning data analysis circuit structured to receive the output data, learn received output data patterns indicative of an outcome, and learn a preferred input data collection band among a plurality of available input data collection bands. The machine learning data analysis circuit may be structured to learn received output data patterns by being seeded with a model based on industry-specific feedback. The outcome may be at least one of: a reaction rate, a production volume, or a required maintenance.

公开(公告)号：US11977357B2

公开(公告)日：2024-05-07

申请号：US17412980

申请日：2021-08-26

Applicant: HeartWare, Inc.

Inventor： John Rudser

IPC: H02P1/16 ,  A61M60/148 ,  A61M60/20 ,  A61M60/538 ,  A61M60/585 ,  A61M60/871 ,  G05B13/02 ,  G05B23/02 ,  H02P6/20 ,  A61M60/178 ,  A61M60/232 ,  A61M60/237 ,  A61M60/411

CPC classification number: G05B13/021 ,  A61M60/148 ,  A61M60/538 ,  A61M60/585 ,  A61M60/871 ,  G05B23/0294 ,  H02P1/16 ,  H02P6/20 ,  A61M60/178 ,  A61M60/232 ,  A61M60/237 ,  A61M60/411 ,  A61M2205/16 ,  A61M2205/3331 ,  A61M2205/3365 ,  A61M2205/50 ,  A61M2205/52 ,  G05B2219/41018

Abstract: An apparatus for starting operation of a motor of an implantable blood pump including a memory storing one or more default parameters for at least one of controlling and monitoring the startup operation. A processor operatively coupled to the motor is included, the processor is configured to: commence the startup operation based on the one or more default parameters; detect an error during the startup operation; adjust at least one of the one or more default parameters in response to the detected error; store the at least one adjusted parameter in the memory; and commence subsequent startup operations based at least in part on the at least one adjusted parameter.

公开(公告)号：US11971722B2

公开(公告)日：2024-04-30

申请号：US17073813

申请日：2020-10-19

Applicant: HYUNDAI MOTOR COMPANY ,  KIA MOTORS CORPORATION

Inventor： Byung Yong You

IPC: G05D1/00 ,  G05B23/02 ,  G06N3/042 ,  G06N3/045

CPC classification number: G05D1/0221 ,  G05B23/0229 ,  G05B23/0294 ,  G06N3/045 ,  G06N3/042

Abstract: A deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.

公开(公告)号：US20240062081A1

公开(公告)日：2024-02-22

申请号：US18497893

申请日：2023-10-30

Applicant: Sony Interactive Entertainment Inc.

Inventor： Erik Beran ,  Michael Taylor ,  Masanori Omote

IPC: G06N5/025 ,  G06N3/008 ,  G06N3/08 ,  G06N3/04 ,  G06N5/02 ,  H04L67/50 ,  G06N20/00 ,  G05B23/02 ,  G06F11/34

CPC classification number: G06N5/025 ,  G06N3/008 ,  G06N3/08 ,  G06N3/04 ,  G06N5/02 ,  H04L67/535 ,  G06N20/00 ,  G05B23/0216 ,  G05B23/0294 ,  G06F11/3438

Abstract: A method for building an artificial intelligence (AI) model. The method includes accessing data related to monitored behavior of a user. The data is classified, wherein the classes include an objective data class identifying data relevant to a group of users including the user, and a subjective data class identifying data that is specific to the user. Objective data is accessed and relates to monitored behavior of a plurality of users including the user. The method includes providing as a first set of inputs into a deep learning engine performing AI the objective data and the subjective data of the user, and a plurality of objective data of the plurality of users. The method includes determining a plurality of learned patterns predicting user behavior when responding to the first set of inputs. The method includes building a local AI model of the user including the plurality of learned patterns.

公开(公告)号：US11838036B2

公开(公告)日：2023-12-05

申请号：US15973406

申请日：2018-05-07

Applicant: Strong Force IoT Portfolio 2016, LLC

Inventor： Charles Howard Cella ,  Gerald William Duffy, Jr. ,  Jeffrey P. McGuckin ,  Mehul Desai

IPC: H04B17/29 ,  G05B19/418 ,  H04L67/12 ,  G06N20/00 ,  H04L1/00 ,  G06N3/084 ,  G06N3/088 ,  G06N3/006 ,  H04B17/345 ,  H04W4/38 ,  H04W4/70 ,  G06Q30/02 ,  G06Q30/06 ,  G01M13/045 ,  G01M13/028 ,  H04L1/1867 ,  G06Q10/0639 ,  G06Q10/04 ,  H04B17/23 ,  H03M1/12 ,  G16Z99/00 ,  H02M1/12 ,  G06F18/21 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N7/01 ,  G06V10/778 ,  G06V10/82 ,  B62D15/02 ,  G01M13/04 ,  G06Q50/00 ,  G05B23/02 ,  G05B13/02 ,  H04L67/1097 ,  H04B17/318 ,  G06N3/02 ,  G06N5/046 ,  H04B17/309 ,  H04L1/18 ,  G06N3/126 ,  G05B19/042 ,  H04B17/40 ,  H04L67/306 ,  B62D5/04 ,  G06F17/18 ,  G06F18/25 ,  H04L5/00

CPC classification number: H04B17/29 ,  B62D15/0215 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/028 ,  G05B19/4183 ,  G05B19/4184 ,  G05B19/4185 ,  G05B19/41845 ,  G05B19/41865 ,  G05B19/41875 ,  G05B23/024 ,  G05B23/0221 ,  G05B23/0229 ,  G05B23/0264 ,  G05B23/0283 ,  G05B23/0286 ,  G05B23/0289 ,  G05B23/0291 ,  G05B23/0294 ,  G05B23/0297 ,  G06F18/2178 ,  G06N3/006 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/0278 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/7784 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/0002 ,  H04L1/0041 ,  H04L1/18 ,  H04L1/1874 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/0463 ,  G05B19/042 ,  G05B23/02 ,  G05B23/0208 ,  G05B2219/32287 ,  G05B2219/35001 ,  G05B2219/37337 ,  G05B2219/37351 ,  G05B2219/37434 ,  G05B2219/37537 ,  G05B2219/40115 ,  G05B2219/45004 ,  G05B2219/45129 ,  G06F17/18 ,  G06F18/21 ,  G06F18/217 ,  G06F18/25 ,  G06N3/126 ,  H04B17/40 ,  H04L1/0009 ,  H04L5/0064 ,  H04L67/306 ,  Y02P80/10 ,  Y02P90/02 ,  Y02P90/80 ,  Y04S50/00 ,  Y04S50/12 ,  Y10S707/99939

Abstract: Monitoring, systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, wherein the data collector collects data based on a selected data collection routine, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data, and sense a change in operation and determine an aggregate rate of data being collected from the plurality of input channels. If the aggregate rate exceeds a throughput parameter the data analysis circuit alters the data collection to reduce the amount of data collected or, based on the sensed change, modify a collector route.

公开(公告)号：US11835944B2

公开(公告)日：2023-12-05

申请号：US17056240

申请日：2019-06-24

Applicant: Mitsubishi Power, Ltd.

Inventor： Koji Imakita

IPC: G05B23/02 ,  G06Q10/04 ,  G06Q50/06 ,  G06Q30/0283 ,  F02C9/00

CPC classification number: G05B23/02 ,  F02C9/00 ,  G05B23/0294 ,  G06Q10/04 ,  G06Q30/0283 ,  G06Q50/06

Abstract: Provided is an upgrade evaluation device for calculating cost in relation to the introduction effects of an upgrade menu. The present invention has: a performance data acquisition step for acquiring the performance data of an apparatus; and an effect calculation step for calculating, on the basis of the performance data, introduction effects based on a difference in performance when an improvement function for improving the performance of the apparatus is introduced and when the improvement function is not introduced; the introduction effects being calculated for each of a plurality of points in time in a prescribed period in the effect calculation step. There may also be calculated a cost exchanged between an improvement-function-supply side and the supplied side, the cost being based on the introduction effects calculated in the effect calculation step.

公开(公告)号：US20230385598A1

公开(公告)日：2023-11-30

申请号：US18204244

申请日：2023-05-31

Applicant: Strong Force IoT Portfolio 2016, LLC

Inventor： Charles Howard Cella ,  Gerald William Duffy, JR. ,  Jeffrey P. McGuckin ,  Mehul Desai

IPC: G06N3/006 ,  G05B19/418 ,  H04L67/12 ,  H04L1/00 ,  H04B17/309 ,  G06N5/046 ,  G05B23/02 ,  G06N3/02 ,  H04B17/318 ,  H04L67/1097 ,  G05B13/02 ,  G06Q30/02 ,  H04W4/70 ,  G06Q30/06 ,  H04W4/38 ,  H04B17/345 ,  H04B17/23 ,  G16Z99/00 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G06N3/084 ,  G06N3/088 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q50/00 ,  H04L1/18 ,  H04L1/1867 ,  H03M1/12 ,  G06F18/21 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N7/01 ,  G06V10/778 ,  H02M1/12 ,  G06N20/00

CPC classification number: G06N3/006 ,  G05B19/41875 ,  G05B19/4185 ,  H04L67/12 ,  G05B19/41865 ,  G05B19/4183 ,  H04L1/0002 ,  H04B17/309 ,  G06N5/046 ,  G05B23/0221 ,  G06N3/02 ,  G05B23/0294 ,  H04B17/318 ,  G05B19/41845 ,  G05B23/0283 ,  G05B23/0229 ,  H04L67/1097 ,  G05B13/028 ,  G05B23/0289 ,  G05B23/0291 ,  G05B19/4184 ,  G05B23/0297 ,  G05B23/0264 ,  G05B23/0286 ,  G05B23/024 ,  G06Q30/02 ,  H04W4/70 ,  G06Q30/06 ,  H04W4/38 ,  H04B17/345 ,  H04B17/23 ,  G16Z99/00 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G06N3/084 ,  G06N3/088 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/0278 ,  G06Q50/00 ,  H04L1/0041 ,  H04L1/18 ,  H04L1/1874 ,  H03M1/12 ,  G06F18/2178 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N7/01 ,  G06V10/7784 ,  H02M1/12 ,  G06N20/00 ,  G05B2219/32287 ,  H04L5/0064

Abstract: Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

公开(公告)号：US20230281732A1

公开(公告)日：2023-09-07

申请号：US18139010

申请日：2023-04-25

Applicant: LANCIUM LLC

Inventor： Michael T. MCNAMARA ,  Raymond E. CLINE, JR.

IPC: G06Q50/06 ,  H02J13/00 ,  G05B13/04 ,  G05B23/02 ,  G06F1/3287 ,  G06Q10/0631

CPC classification number: G06Q50/06 ,  H02J13/00006 ,  H02J13/00002 ,  G05B13/042 ,  G05B23/0294 ,  G06F1/3287 ,  G06Q10/06315

Abstract: Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing systems is configured to adjust power consumption during operation. The method also includes adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

公开(公告)号：US20230280738A1

公开(公告)日：2023-09-07

申请号：US17686211

申请日：2022-03-03

Applicant: Caterpillar Inc.

Inventor： David A. Villero ,  Kyle J. Cline

IPC: G05B23/02

CPC classification number: G05B23/0283 ,  G05B23/0294

Abstract: Techniques are provided that include receiving sensor data from sensors of the machine, service history data, previous dealership data, and owner input data. The techniques include generating a state of the machine and a state of each of individual components by processing such data. Some of such data are processed to generate the measure of projected productivity of the machine and the estimate of projected maintained life cycle and costs. The generated data are input to the machine optimization module to generate the optimal performance level of the machine and data indicative of the optimal performance level of the machine, which are processed to generate productivity data of the machine, which are transmitted to a customer-facing application for display or post-processing.

公开(公告)号：US11728910B2

公开(公告)日：2023-08-15

申请号：US16151177

申请日：2018-10-03

Applicant: Strong Force IoT Portfolio 2016, LLC

Inventor： Charles Howard Cella ,  Gerald William Duffy, Jr. ,  Jeffrey P. McGuckin ,  Mehul Desai

IPC: G05B19/418 ,  H04B17/29 ,  H04L67/12 ,  G06N20/00 ,  H04L1/00 ,  G06N3/084 ,  G06N3/088 ,  G06N3/006 ,  H04B17/345 ,  H04W4/38 ,  H04W4/70 ,  G06Q30/02 ,  G06Q30/06 ,  G01M13/045 ,  G01M13/028 ,  H04L1/1867 ,  G06Q10/0639 ,  G06Q10/04 ,  H04B17/23 ,  H03M1/12 ,  G16Z99/00 ,  H02M1/12 ,  G06F18/21 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N7/01 ,  G06V10/778 ,  G06V10/82 ,  B62D15/02 ,  G01M13/04 ,  G06Q50/00 ,  G05B23/02 ,  G05B13/02 ,  H04L67/1097 ,  H04B17/318 ,  G06N3/02 ,  G06N5/046 ,  H04B17/309 ,  H04L1/18 ,  G06N3/126 ,  G05B19/042 ,  H04B17/40 ,  H04L67/306 ,  B62D5/04 ,  G06F17/18 ,  G06F18/25 ,  H04L5/00

CPC classification number: H04B17/29 ,  B62D15/0215 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/028 ,  G05B19/4183 ,  G05B19/4184 ,  G05B19/4185 ,  G05B19/41845 ,  G05B19/41865 ,  G05B19/41875 ,  G05B23/024 ,  G05B23/0221 ,  G05B23/0229 ,  G05B23/0264 ,  G05B23/0283 ,  G05B23/0286 ,  G05B23/0289 ,  G05B23/0291 ,  G05B23/0294 ,  G05B23/0297 ,  G06F18/2178 ,  G06N3/006 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/0278 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/7784 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/0002 ,  H04L1/0041 ,  H04L1/18 ,  H04L1/1874 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/0463 ,  G05B19/042 ,  G05B23/02 ,  G05B23/0208 ,  G05B2219/32287 ,  G05B2219/35001 ,  G05B2219/37337 ,  G05B2219/37351 ,  G05B2219/37434 ,  G05B2219/37537 ,  G05B2219/40115 ,  G05B2219/45004 ,  G05B2219/45129 ,  G06F17/18 ,  G06F18/21 ,  G06F18/217 ,  G06F18/25 ,  G06N3/126 ,  H04B17/40 ,  H04L1/0009 ,  H04L5/0064 ,  H04L67/306 ,  Y02P80/10 ,  Y02P90/02 ,  Y02P90/80 ,  Y04S50/00 ,  Y04S50/12 ,  Y10S707/99939

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points related to machine components, wherein at least one of the plurality of input channels is connected to a data collection point on a rotating machine component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system analysis circuit structured to analyze the collected data, wherein the expert system analysis circuit determines a failure state for the rotating machine component based on analysis of the plurality of detection values, wherein upon determining the failure state the expert system analysis circuit provides the failure state to a data storage.