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1.
公开(公告)号:US20240362076A1
公开(公告)日:2024-10-31
申请号:US18633519
申请日:2024-04-12
Applicant: DOOSAN ENERBILITY CO., LTD.
Inventor: Jwa Young MAENG , Hyun Sik KIM , Jun Woo YOO , Sang Gun NA
CPC classification number: G06F9/505 , G05B13/021
Abstract: The present disclosure relates to a system and method for adjusting control sensitivity based on optimal search. According to the present disclosure, stable control convergence can be achieved without excessively shortening the lifespan of a target device by moving a target device only when there is a control gain larger than or equal to a preset reference value. This occurs during continuous control of the target device through the system for adjusting a control sensitivity based on optimal search, which adjusts the sensitivity of the continuous control based on optimal search.
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公开(公告)号:US20240319682A1
公开(公告)日:2024-09-26
申请号:US18734561
申请日:2024-06-05
Applicant: Eurotherm Limited
Inventor: Samuel ROBERTS
IPC: G05B13/02 , F27D19/00 , G05B15/02 , G05B19/042
CPC classification number: G05B13/021 , F27D19/00 , G05B15/02 , G05B19/0428 , F27D2019/0012 , F27D2019/0018 , F27D2019/0028
Abstract: Automatically generating a compensation factor for adjusting an operating parameter such that a measured carbon potential, dew point, or other controlled parameter matches the controller's set point value by inputting the measured parameter directly to the controller.
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公开(公告)号:US12055146B2
公开(公告)日:2024-08-06
申请号:US18369009
申请日:2023-09-15
Inventor: Nathan L. Tofte , Jonathan Christopher Hull , John R. Donovan , Richard Jan Tjaden
CPC classification number: F04D15/0227 , F04D13/08 , F04D13/086 , F04D15/0077 , F04D15/0088 , F04D15/0218 , F04D15/0254 , F04D15/0272 , G05B13/021 , G05B13/026 , G05B13/0265 , G05B15/02 , G06N20/00 , G08B21/182 , H04L12/2823
Abstract: A sump pump system may implement adaptive learning and machine learning techniques to facilitate improved control of sump pumps. A sump pump system may implement the described techniques to generate, train, and/or implement a machine learning model that is capable of predicting or estimating one or more conditions of the sump pump system (e.g., water level in the basin, motor malfunction, stuck impeller, geyser effect, blocked outlet pipe, faulty level sensor/switch, faulty bearing, failure to engage pump at high-water mark, etc.) based on one or more detected input variables (e.g., acceleration or vibration patterns detected in water, on a pump, or on a pipe; capacitance values of water; audio signatures; electrical signatures, such as power or current draw; pump motor rotation speed; water pressure signatures or values, such as those detected at the bottom of a sump basin; etc.).
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公开(公告)号:US20240175345A1
公开(公告)日:2024-05-30
申请号:US18215289
申请日:2023-06-28
Applicant: TECHNOLOGICAL RESOURCES PTY. LIMITED
Inventor: Charles Benjamin McHugh , Eric William Nettleton
CPC classification number: E21B44/02 , E21B7/02 , E21B49/003 , G05B13/021
Abstract: A system 10 for controlling a drilling operation by a drill rig 12 includes a receiver 16 for receiving sensed data related to the drilling operation. A processor 18 is in communication with the receiver 16, the processor 18 processing the sensed data to estimate at least one geological property of interest of a zone 20 in which the drill rig 12 is active. The processor 18 is configured to operate as a decision engine 22 to optimize the drilling operation automatically by changing at least one drilling related parameter during the drilling operation based on the at least one geological property of interest.
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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.
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6.
公开(公告)号:US20240035478A1
公开(公告)日:2024-02-01
申请号:US18379011
申请日:2023-10-11
Inventor: Nathan L. Tofte , Jonathan Christopher Hull , John R. Donovan , Richard Jan Tjaden
CPC classification number: F04D15/0272 , F04D15/0218 , F04D15/0088 , F04D13/086 , G06N20/00 , F04D13/08 , F04D15/0077 , F04D15/0227 , F04D15/0254 , G05B13/021 , G05B13/026 , G05B13/0265
Abstract: Example systems and methods for manipulating control of sump pumps in order to extend lifespans of the sump pumps are disclosed. An example method includes activating a sump pump a first time; deactivating the sump pump when a first current water level in a sump basin in which the sump pump is disposed reaches a first low-water mark; and determining, by one or more processors, a time since a last activation of the sump pump wherein the last activation occurred when the sump pump activated the first time. When the time satisfies a threshold, the method activates the sump pump at second time, determines, by one or more processors, a second current water level in the sump basin, and in response to determining that the second current water level in the sump basin is below a second low-water mark corresponding to a bottom of an impeller of the sump pump, deactivates the sump pump.
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公开(公告)号:US11853017B2
公开(公告)日:2023-12-26
申请号:US15814565
申请日:2017-11-16
Applicant: International Business Machines Corporation
Inventor: Teodora Buda , Patrick Joseph O'Sullivan , Hitham Ahmed Assem Aly Salama , Lei Xu
CPC classification number: G05B13/021 , G06N20/00 , G06N3/08 , G06N5/02 , G06N7/02
Abstract: Techniques that facilitate machine learning optimization are provided. In one example, a system includes a computational resource component, a batch interval component, and a machine learning component. The computational resource component collects computational resource data associated with a group of computing devices that performs a machine learning process. The batch interval component determines, based on the computational resource data, batch interval data indicative of a time interval to collect data for the machine learning process. The machine learning component provides the batch interval data to the group of computing devices to facilitate execution of the machine learning process based on the batch interval data.
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公开(公告)号:US11845387B2
公开(公告)日:2023-12-19
申请号:US17745253
申请日:2022-05-16
Applicant: RENESAS ELECTRONICS CORPORATION
Inventor: Masayuki Daito
IPC: G06F9/46 , B60R16/023 , G05B13/02 , G06F9/48
CPC classification number: B60R16/0231 , G05B13/021 , G06F9/4881
Abstract: A semiconductor device includes an operation resource which performs a plurality of ECU functions, a peripheral resource which is shared by the plurality of ECU functions and a control mechanism which controls a period in which one of the ECU functions uses the peripheral resource. The control mechanism calculates, based on a budget value which is given in advance and is a performance allocation, a use prohibition period in which the one of the ECU functions is prohibited from using the peripheral resource within the predetermined unit time.
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公开(公告)号:US20230341829A1
公开(公告)日:2023-10-26
申请号:US18210700
申请日:2023-06-16
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Brian E. Brooks , Gilles J. Benoit , Peter O. Olson , Tyler W. Olson , Himanshu Nayar , Frederick J. Arsenault , Nicholas A. Johnson
IPC: G05B13/04 , G05B13/02 , G06N5/043 , G05B23/02 , G06N5/046 , G05B19/4065 , G05B19/418 , G06Q10/0631 , G06Q10/0639 , G06Q30/0202 , B60W40/064 , B60W40/08 , B60W40/105 , G06F18/21 , G06N7/01
CPC classification number: G05B13/042 , G05B13/0265 , G06N5/043 , G05B13/024 , G05B23/0229 , G06N5/046 , G05B19/4065 , G05B19/41835 , G05B13/041 , G06Q10/06315 , G06Q10/06395 , G06Q30/0202 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/021 , G06F18/2193 , G06N7/01 , G05B2219/36301 , G06Q10/087
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes obtaining data specifying baseline probability distributions for each of a plurality of controllable elements; maintaining a causal model; repeatedly performing the following: selecting control settings for the environment based on the causal model and values for a particular internal parameter of the control system that are sampled from a range of possible values; selecting control settings for the environment based on the baseline probability distributions; monitoring environment responses to the control settings selected based on the causal model and the control settings selected based on the baseline probability distributions; determining, for each of the possible values, a measure of a difference between a current system performance and a baseline system performance; and updating how frequently each of the possible values is sampled.
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公开(公告)号:US11796332B2
公开(公告)日:2023-10-24
申请号:US16655411
申请日:2019-10-17
Applicant: Motional AD LLC
Inventor: Kostyantyn Slutskyy , Dmytro S. Yershov
CPC classification number: G01C21/3492 , G01C21/3446 , G05B13/021
Abstract: Techniques for generation of an optimal trajectory for a vehicle include receiving, using one or more processors of the vehicle, an instruction for the vehicle to travel from an initial spatiotemporal location to a destination spatiotemporal location. One or more processors are used to generate a trajectory including travel segments. The trajectory begins at the initial spatiotemporal location and terminates at the destination spatiotemporal location. Each travel segment begins at a first spatiotemporal location and terminates at a second spatiotemporal location. Each travel segment is associated with operational metrics. The operational metrics are associated with navigating the vehicle from the first spatiotemporal location to the second spatiotemporal location. Each operational metric is optimized across the travel segments to generate the trajectory. Using a control module of the vehicle, the vehicle is navigated from the initial spatiotemporal location to the destination spatiotemporal location along the trajectory.
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