公开(公告)号：US20250068156A1

公开(公告)日：2025-02-27

申请号：US18943296

申请日：2024-11-11

Applicant: ODYSIGHT.AI l TD

Inventor： Amir GOVRIN ,  Yekaterina DLUGACH ,  Yaron SILBERMAN

IPC: G05B23/02

Abstract: A system for monitoring potential failure in a machine or a component thereof, the system including: at least one optical sensor configured to be fixed on or in vicinity of the machine or the component thereof, at least one processor in communication with the sensor, the processor being executable to: receive signals from the at least one optical sensor, obtain data associated with characteristics of at least one mode of failure of the machine or the component thereof, identify at least one change in the received signals, for an identified change in the received signals, apply the at least one identified change to an algorithm configured to analyze the identified change in the received signals and to classify whether the identified change in the received signals is associated with a mode of failure of the machine or the component thereof, thereby labeling the identified change as a fault, based, at least in part, on the obtained data, and for an identified change is classified as being associated with a mode of failure, outputting a signal indicative of the identified change associated with the mode of failure.

公开(公告)号：US20250060738A1

公开(公告)日：2025-02-20

申请号：US18721460

申请日：2022-12-14

Applicant: ASML NETHERLANDS B.V.

Inventor： Eleftherios KOULIERAKIS ,  Anjan Prasad GANTAPARA ,  Satej Subhash KHEDEKAR ,  Hamideh ROSTAMI

IPC: G05B23/02

Abstract: A method for training a diagnostic model for diagnosing a production system, wherein the production system includes a plurality of sub-systems. The diagnostic model includes, for each sub-system, a corresponding first learning model arranged to receive input data, and to generate compressed data for the production system in a corresponding compressed latent space. A second learning model is arranged to receive the compressed data generated by the first learning models, and generate further compressed data for the production system in a further compressed latent space. The method includes performing training of the first and second learning models based on training data derived from sensor data characterizing the sub-systems.

公开(公告)号：US12228920B2

公开(公告)日：2025-02-18

申请号：US17193040

申请日：2021-03-05

Applicant: Air Products and Chemicals, Inc.

Inventor： Sanjay Mehta ,  Pratik Misra

IPC: G05B23/02 ,  G06F18/214 ,  G06N20/00

Abstract: There is provided a method of monitoring operational characteristics of an industrial gas plant complex comprising a plurality of industrial gas plants. The method being executed by at least one hardware processor and comprising: assigning a machine learning model to each of the industrial gas plants forming the industrial gas plant complex; training the respective machine learning model for each industrial gas plant based on received historical time-dependent operational characteristic data for the respective industrial gas plant; executing the trained machine learning model for each industrial gas plant to predict operational characteristics for each respective industrial gas plant for a pre-determined future time period; and comparing predicted operational characteristic data for each respective industrial gas plant for a pre-determined future time period with measured operational characteristic data for the corresponding time period to identify deviations in industrial gas plant performance.

公开(公告)号：US12228919B2

公开(公告)日：2025-02-18

申请号：US17123151

申请日：2020-12-16

Applicant: Industrial Technology Research Institute

Inventor： Yang-Ching Feng ,  Chiao-Ying Ku ,  Tien-Hua Chiang

IPC: G05B23/02 ,  G06F12/1009 ,  G06F12/1027

Abstract: An information translation device, information translation method, and an information translation system based on Modbus are provided. The client module of the information translation device receives an information model file including identity information, receives a sensor signal corresponding to first identity information and Modbus data including memory addresses of Modbus protocol, determines a first memory address corresponding to the sensor signal according to sensed values of the sensor signal and values corresponding to each of the memory addresses and builds a memory address mapping table including the first memory address and the first identity information, and receives a first value of the first memory address and searches the first identity information corresponding to the first memory address according to the memory address mapping table. The server module of the information translation device receives the first value and the first identity information and transmits to an OPC UA device.

公开(公告)号：US12228089B2

公开(公告)日：2025-02-18

申请号：US18602931

申请日：2024-03-12

Applicant: Cummins Emission Solutions Inc.

Inventor： Swapnali Gujar ,  Kapil Rajkumar Dhanwani ,  Kwadwo O. Owusu ,  Premjee Sasidharan ,  Alan H. Zhao ,  Jinqian Gong ,  Jeffrey Diwakar Abraham ,  Thomas C. Smith, Jr.

IPC: F02D41/22 ,  F02D41/14 ,  F02D41/24 ,  G05B23/02

Abstract: A method executed by at least one server, comprising: receiving, from a first monitored system comprising an internal combustion engine and a first sensor, a first signal associated with a first occurrence and a second occurrence of an internal combustion engine event and first measurement data of the first sensor; determining a first measurement from the first measurement data and a second measurement from the first measurement data based on the first and second occurrences, respectively; determining a reference measurement; determining a first reference deviation; determining a second reference deviation; after determining the first reference deviation is less than a first reference threshold and the second reference deviation is less than a second reference threshold, determining a measurement deviation; comparing the measurement deviation to a measurement threshold; and after determining the measurement deviation satisfies the measurement threshold, determining a first exhibited useful life of the first sensor.

公开(公告)号：US20250053166A1

公开(公告)日：2025-02-13

申请号：US18446872

申请日：2023-08-09

Applicant: Microsoft Technology Licensing, LLC

Inventor： Chin Hwan PARK ,  Adam Jeffery GRENZEBACH ,  Juan Arturo HERRERA ORTIZ

IPC: G05B23/02

Abstract: Aspects of the disclosure identify a pattern of features associated with a computing component indicating an increased probability that the component incurs an uncorrectable error. Historical component data, component features, server data, and server services are utilized to identify the patterns that correlate to an increased probability that the component incurs an uncorrectable error. For example, this data is used as input into a machine learning platform. Proactive and/or mitigating actions that reduce the probability of an uncorrectable error or its negative effects are presented and/or implemented to minimize or eliminate disruption in cloud computing services.

公开(公告)号：US12222713B2

公开(公告)日：2025-02-11

申请号：US17886420

申请日：2022-08-11

Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

Inventor： Anthony Amaro, Jr. ,  John M. Caldwell ,  Mark Nixon ,  Cheyenne Hernandez

IPC: G05B23/02 ,  G05B19/418

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example system to modify an industrial control system includes: at least one memory; programmable circuitry; and instructions to cause the programmable circuitry to: configure a device driver based on a first command, the first command to configure the device driver to initiate a device-specific communication protocol to collect input data from a publisher device coupled to the device driver; access a second command from a subscriber device, the second command to include a device identifier of the publisher device and to specify at least one of a communication mode, a device calibration configuration, or a fault detection configuration, the second command based on a product quality prediction, the product quality prediction generated using a spectral data model; and provide the second command to the device driver.

公开(公告)号：US12222224B2

公开(公告)日：2025-02-11

申请号：US17406540

申请日：2021-08-19

Applicant: AGENCY FOR DEFENSE DEVELOPMENT

Inventor： Chang Min Lee ,  Seong Lyun Kim

IPC: G01D18/00 ,  G01D3/06 ,  G01D21/00 ,  G01K1/02 ,  G01K3/10 ,  G01V1/30 ,  H04W4/38 ,  H04W84/18 ,  G05B23/02 ,  H03M1/12 ,  H04W52/02

Abstract: The disclosure generally relates to devices and techniques for operating an electronic apparatus that controls a sensor, the devices and techniques including acquiring first sensing data through the sensor, identifying a data variation based on the first sensing data and sensing data for a first time point and a second time point acquired in advance based on a sampling period of the sensor, identifying target data among a plurality of predetermined meaningful data based on the identified data variation and determining a time point at which the target data is to be acquired, and controlling the sampling period based on the determined time point.

公开(公告)号：US20250044786A1

公开(公告)日：2025-02-06

申请号：US18918229

申请日：2024-10-17

Applicant: Alisea S.r.l.

Inventor： Andrea Casa

IPC: G05B23/02 ,  F24F11/39 ,  F24F11/52 ,  F24F11/62 ,  F24F110/64 ,  F24F120/00 ,  G06N3/08 ,  G06N3/088 ,  G06T17/00 ,  H02J13/00 ,  H04L12/28

Abstract: Systems and methods are provided for maintaining an air conditioning system. A system can include one or more sensors positioned inside of the air conditioning system configured to transmit current sensor data to a remote location. A data repository contains historic sensor data and corresponding air conditioning system status data. A neural network is trained using the historic sensor data and the corresponding air conditioning system status data to predict a future air conditioning system status based on the transmitted current sensor data. A server computer system is configured to predict the future air conditioning system status based on the current sensor data using the neural network, and a graphical user interface is configured to display the predicted future air conditioning system status to a remote client. The current sensor data is stored in the data repository and the neural network is further trained based on the current sensor data.

公开(公告)号：US20250044784A1

公开(公告)日：2025-02-06

申请号：US18919487

申请日：2024-10-18

Applicant: Tokyo Electron Limited

Inventor： Ryoji ANZAKI

IPC: G05B23/02

Abstract: Provided is a state detection apparatus, a state detection method, a generation method of a learning model, and a recording medium, which can be expected to accurately detect a state of a target apparatus such as a semiconductor manufacturing apparatus. The state detection apparatus according to the present embodiment includes: a first acquirer that acquires input data of a target apparatus and observed data of an operation of the target apparatus; a determinator that determines parameters of an estimation model that estimates the observed data from the input data based on the input data and the observed data acquired by the first acquirer; and a detector that detects a state of the target apparatus based on the parameters determined by the determinator.