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1.发明公开公开(公告)号：US20240353832A1
公开(公告)日：2024-10-24
申请号：US18690326
申请日：2021-09-28
Applicant: NEC Corporation
Inventor： Yoji Mori
IPC: G05B23/02
CPC classification number: G05B23/0283
Abstract: A secure computing system according to the present disclosure is used in an analysis pertaining to predictive maintenance of a semiconductor manufacturing device, and comprises: a parameter reception means that receives concealed parameters of a plurality of models generated by each of a plurality of semiconductor manufacturers; a secure computing means that integrates the plurality of concealed parameters by secure computing; and an output means that outputs, in a concealed format, the parameters integrated by the secure computing means.
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公开(公告)号：US20240353831A1
公开(公告)日：2024-10-24
申请号：US18639143
申请日：2024-04-18
Applicant: ABB Schweiz AG
Inventor： Pablo Rodriguez , Heiko Koziolek , Andreas Burger
IPC: G05B23/02 , G06F16/955
CPC classification number: G05B23/0283 , G06F16/9558
Abstract: A computer-implemented method for determining the dependency of a given piece of operational technology (OT) equipment in an industrial plant on information technology (IT) equipment includes querying from a distributed control system of the industrial plant, which of a plurality of controllers is responsible for the piece of OT equipment; determining from a representation of the information technology (IT) landscape of the industrial plant pieces of IT equipment on which the correct functioning of the controller is dependent; and determining these pieces of IT equipment as the subset of the IT landscape on which the given piece of OT equipment depends.
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公开(公告)号：US12124254B2
公开(公告)日：2024-10-22
申请号：US17845449
申请日：2022-06-21
Applicant: Arch Systems Inc.
Inventor： Timothy Matthew Burke , Andrew Galen Scheuermann , Swamy Muddu
CPC classification number: G05B23/0283 , G01M99/005
Abstract: A system for predictive analysis and/or process control, preferably including one or more communication and/or computing systems, and optionally including one or more entities and/or sensors. A method for predictive analysis and/or machine operation, preferably including receiving entity data and determining one or more latent features, and optionally including determining one or more response reconstructions, determining a processed representation of the entity data, determining entity information, and/or acting based on entity information. In some embodiments, the method can additionally or alternatively include: determining segments, identifying one or more state change event occurrences, determining an event data subset based on the state change event occurrences, generating a response reconstruction using the event data subset, selecting a physical simulation, selecting one or more simulation hyperparameters for the physical simulation, running the physical simulation, and/or extracting one or more latent features from the physical simulation.
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公开(公告)号：US12124253B2
公开(公告)日：2024-10-22
申请号：US17438834
申请日：2020-03-13
Applicant: Donaldson Company, Inc.
Inventor： Isaac Laffey , Danny W. Miller , Eric Ward , Michael Lockert , David Gutman , Mathijs Verstraete , Johnny Craessaerts
CPC classification number: G05B23/0283 , G01D11/245 , G01L19/086 , G01L19/12
Abstract: Embodiments herein relate to filter restriction indicator (100) for a filtration system. In an embodiment, a filter restriction indicator (100) can have an electronics control cartridge (800) including an internal spacer frame (304), a first circuit board (346), a second circuit board (302) disposed over the first circuit board (346), and a pressure sensor (336) in electrical communication with the first circuit board (346). A filter fluid tube (318) defines a filter fluid channel (348) in fluid communication with the pressure sensor (336). The internal spacer frame (304) can secure the first circuit board (346) at a fixed distance from the second circuit board (302). A lower housing (108) defines an ambient pressure port (310). A cap (102) defines an interior volume (332) into which the electronics control cartridge fits (800). The cap (102) can define a shielding panel (112) configured to fit over an exterior portion of the ambient pressure port (336) when the cap (102) is engaged with the lower housing (108). Other embodiments are also included herein.
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公开(公告)号：US12124252B2
公开(公告)日：2024-10-22
申请号：US17293408
申请日：2019-12-17
Applicant: KOMATSU INDUSTRIES CORPORATION
Inventor： Kouji Funabashi , Yusuke Masato , Taketoshi Fukumura , Eiji Doba
CPC classification number: G05B23/0283 , G06Q10/20
Abstract: A server displays information about a plurality of industrial machines on a display of a client computer. The server includes a storage device, a processor, and a communication device. The storage device stores state data indicative of states of a plurality of industrial machines. The processor determines remaining lives of the plurality of industrial machines from the state data. The processor generates data indicative of a machine list screen. The machine list screen includes identifiers of the plurality of industrial machines and the remaining lives. The communication device outputs the data indicative of the machine list screen to a client computer via a communication network.
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Patent Agency Ranking
公开(公告)号：US12124231B2
公开(公告)日：2024-10-22
申请号：US17538324
申请日：2021-11-30
Applicant: Caterpillar Inc.
Inventor： Yanchai Zhang , Wenming Zhao , Chunhui Pan , Daojie Zhang , Xuefei Hu , Shiferaw Damtie Beyene , Nathan J. Wieland , John Dewey Gates , Nimesh Akalanka Jayakody
CPC classification number: G05B13/042 , G05B13/0265 , G05B23/024 , G05B23/0283
Abstract: An electronic control module (ECM) on-board a machine executes a reduced-order model configured to generate virtual sensor data associated with a machine component based on sensor data measured by actual sensors. The ECM can also execute a machine learning model configured to generate offset data for the sensor data and/or the virtual sensor data, based on operating conditions, an age of the machine component, and/or other factors that the reduced-order model may not consider. The sensor data and/or the virtual sensor data, adjusted based on the offset data, can indicate whether the machine component has failed or is predicted to fail at a future point in time, and/or a remaining usable life of the machine component.
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公开(公告)号：US20240345574A1
公开(公告)日：2024-10-17
申请号：US18133120
申请日：2023-04-11
Applicant: SAP SE
Inventor： Jing Guo , Zhou Yang , Yuanyang Wang , Jing-tao Li
IPC: G05B23/02
CPC classification number: G05B23/0283
Abstract: In an example embodiment, a predictive system maintenance module is created based on machine learning. The predictive system maintenance module achieves an improvement in predicting condition-based maintenance decision-making through a cloud-based approach, using a wide variety of information. Factors that influence downtime loss are identified and a generalized loss function, known as the downtime loss function, is defined. A prediction model is then built based on a multi-step forecasting time series model. The prediction model is then used to forecast a window that minimizes downtime loss. The predictive maintenance module uses historical data to foresee when and how to implement the seamless upgrading at a proper time so that it could have minimum downtime loss on the customer.
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公开(公告)号：US20240345573A1
公开(公告)日：2024-10-17
申请号：US18661045
申请日：2024-05-10
Applicant: Tyco Fire & Security GmbH
Inventor： Himanshu Goyal , Pragati Sahebrao Chopade , Krishnamurthy Selvaraj , Chenlu Zhang , Rajiv Ramanasankaran , Wenwen Zhao
CPC classification number: G05B23/0281 , G05B15/02 , G05B23/0283
Abstract: A method for servicing building equipment using generative artificial intelligence models includes creating a set of analysis components that describe expected behaviors of the building equipment, combining multiple analysis components that satisfy a similarity criterion to form a concise set of analysis components, prompting a generative artificial intelligence model using the concise set of analysis components, and performing an automated action for servicing the building equipment based on the response of the generative artificial intelligence model.
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9.发明公开公开(公告)号：US20240310822A1
公开(公告)日：2024-09-19
申请号：US18085306
申请日：2023-03-13
Applicant: SAUDI ARABIAN OIL COMPANY
Inventor： Tarek D. Aboghoniem , Abdullah A. Al-Bader , Khalid Ali Alhur , Omar M. Mulhim
IPC: G05B23/02
CPC classification number: G05B23/024 , G05B23/0283
Abstract: A method that includes receiving process variable data from a plurality of field devices disposed in an industrial facility. The method further includes, for each field device of the plurality of field devices, retrieving a preventative maintenance procedure for the field device, retrieving a log for the field device, and determining if the field device is compliant with preventative maintenance by comparing the preventative maintenance procedure with the log for the field device. The method further includes, for each field device of the plurality of field devices, determining a status of the field device using the process variable data. The method further includes performing preventative maintenance on each field device in the plurality of field devices determined not to be compliant with the preventative maintenance procedure of that field device and operating the industrial facility based on the status of each field device in the plurality of field devices.
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公开(公告)号：US12094264B2
公开(公告)日：2024-09-17
申请号：US17368730
申请日：2021-07-06
Applicant: Cummins Inc.
Inventor： Steven R. Collins , David E. Schisler
CPC classification number: G07C5/0808 , B60W50/04 , G05B23/0283 , G05B23/0294 , G06Q10/20 , G07C5/006 , G07C5/008 , G07C5/0825 , G07C5/085 , G05B23/0275
Abstract: An apparatus includes one or more processing circuits comprising one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processing circuits to perform various operations. The operations include wirelessly receiving a plurality of fault codes from a vehicle control system; prioritizing each fault code within the plurality of fault codes; determining a first root cause fault code corresponding to the highest prioritized fault code in the plurality of fault codes; determining a first set of interaction fault codes, the first set of interaction fault codes relating to the first root cause fault code based on a causal relationship; and wirelessly transmitting the first root cause fault code and the first set of interaction fault codes to a display of an interface device.
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