公开(公告)号：US12073357B2

公开(公告)日：2024-08-27

申请号：US18096647

申请日：2023-01-13

Applicant: CLEARPATH ROBOTICS INC.

Inventor： Ryan Christopher Gariepy ,  Simon Drexler ,  Roydyn Clayton

IPC: G06F7/00 ,  G05B19/418 ,  G05D1/00 ,  G06Q10/087

CPC classification number: G06Q10/087 ,  G05B19/4184 ,  G05B19/41865 ,  G05B19/41895 ,  G05D1/0238 ,  G05D1/0291 ,  G05D1/0297 ,  Y02P90/02

Abstract: Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

公开(公告)号：US20240160189A1

公开(公告)日：2024-05-16

申请号：US17982994

申请日：2022-11-08

Applicant: Dell Products L.P.

Inventor： Parminder Singh Sethi ,  Lakshmi Saroja Nalam ,  Atishay Jain

IPC: G05B19/418

CPC classification number: G05B19/4184 ,  G05B19/41845 ,  G05B19/41865

Abstract: Techniques for state prediction and failure prevention are disclosed. For example, a method comprises receiving data corresponding to operation of a plurality of elements, wherein the plurality of elements comprise at least one of a plurality of devices and a plurality of device components. The data corresponding to the operation of the plurality of elements comprises one or more operational states for respective ones of the plurality of elements. Using one or more machine learning algorithms, a future operational state of one or more elements of the plurality of elements is predicted. The prediction is based, at least in part, on the data corresponding to the operation of the plurality of elements. Using the one or more machine learning algorithms, one or more actions to prevent the one or more elements from transitioning to the future operational state are identified.

公开(公告)号：US20240152123A1

公开(公告)日：2024-05-09

申请号：US18457481

申请日：2023-08-29

Applicant: Tata Consultancy Services Limited

Inventor： KALYANI BHARAT ZOPE ,  KULDEEP SINGH ,  SRI HARSHA NISTALA ,  VENKATARAMANA RUNKANA ,  TANMAYA SINGHAL

IPC: G05B19/418

CPC classification number: G05B19/4184 ,  G05B19/4183 ,  G05B19/41885

Abstract: Existing systems for fault detection and classification have the disadvantage that they have limited or no capability for fault localization and root cause identification, probably due to the challenges associated with modeling the nonlinear interactions among process variables and capturing the nonstationary behavior that is typical of most industrial processes. The disclosure herein generally relates to industrial manufacturing systems, and, more particularly, to method and system for localization of faults in an industrial manufacturing plant. The system uses a perturbation based approach for fault localization, in which the system determines variables having dominant effect on identified faults, in terms of a perturbation score calculated for each of the variables.

公开(公告)号：US11934183B2

公开(公告)日：2024-03-19

申请号：US17596568

申请日：2020-06-12

Applicant: Tata Consultancy Services Limited

Inventor： Pradeep Rathore ,  Arghya Basak ,  Sri Harsha Nistala ,  Venkataramana Runkana

IPC: G05B23/02 ,  G05B19/418

CPC classification number: G05B23/024 ,  G05B19/4183 ,  G05B19/4184

Abstract: The disclosure relates to anomaly detection in an industrial environment including multiple industrial units and systems, generating huge volume of data. The conventional methods rely only on sensor data alone. The techniques of handling missing data plays a crucial role in determining the performance of industrial anomaly detection system. Further, imputation of missing data could cause error in computation, thus affecting the accuracy of the industrial anomaly detection system. The present disclosure addresses the problems associated with missing data by utilizing a masking technique. Further, the present disclosure utilizes quantitative and qualitative metadata associated with industrial system along with the sensor data to improve anomaly detection performance. Furthermore, the present disclosure includes a model recommendation system which provides transfer learning based utilization of existing models for similar industrial systems.

公开(公告)号：US11922377B2

公开(公告)日：2024-03-05

申请号：US15927068

申请日：2018-03-20

Applicant: SAP SE

Inventor： Rashmi B. Shetty ,  Simon Lee

IPC: G06F40/30 ,  G05B19/418 ,  G06F18/214 ,  G06F18/24 ,  G06F40/20 ,  G06Q10/20 ,  G06V30/413

CPC classification number: G06Q10/20 ,  G05B19/4184 ,  G06F18/214 ,  G06F18/24 ,  G06F40/20 ,  G06V30/413

Abstract: Some embodiments provide a program that retrieves a set of notifications describing failures that occurred on a set of monitored devices. The program further determines a set of topics based on the set of notifications. The program also determines failure modes associated with the set of topic from a plurality of failure modes defined for the set of monitored devices. The program further determines failure modes associated with the set of notifications based on the set of topics and the failure modes associated with the set of topics. The program also receives a particular notification that includes a particular set of words describing a failure that occurred on a particular monitored device in the set of monitored devices. The program further determines a failure mode associated with the particular notification based on the particular set of words and the determined failure modes associated with the set of notifications.

公开(公告)号：US20240053732A1

公开(公告)日：2024-02-15

申请号：US18359935

申请日：2023-07-27

Applicant: AKTIEBOLAGET SKF

Inventor： Xue Jun WEN ,  Yilei JI ,  Kai GU ,  Sheng TAO ,  Huiqi YU

IPC: G05B19/418

CPC classification number: G05B19/4186 ,  G05B19/4183 ,  G05B19/4184

Abstract: A lubricator control system includes a lubricator, an Internet-of-things platform, and an application server. The lubricator is configured to communicate with the application server in a long-distance and low-power consumption wireless communication mode, the lubricator is configured to communicate with the Internet-of-things platform via 5G-NB-IoT communication and to send target information to the Internet-of-things platform in the long-distance and low-power consumption wireless communication mode, and the Internet-of-things platform is configured to send the target information to the application server. In addition, the application server is configured to receive the target information and to send corresponding target response information to the Internet-of-things platform, and the Internet-of-things platform is configured to send the target response information to the lubricator via 5G-NB-IoT communication in the long-distance and low-power consumption wireless communication mode.

公开(公告)号：US11892822B2

公开(公告)日：2024-02-06

申请号：US18266605

申请日：2021-01-08

Applicant: Mitsubishi Electric Corporation

Inventor： Hidematsu Hayashi ,  Naoya Terasawa ,  Takashi Saeki ,  Masaya Harakawa

IPC: G06F15/16 ,  G05B19/418 ,  G16Y40/10 ,  G16Y40/40

CPC classification number: G05B19/4184 ,  G16Y40/10 ,  G16Y40/40

Abstract: A maintenance support system includes a wearable device that provides an on-site maintenance worker with maintenance instruction information; a plurality of maintenance support terminals installed in a plurality of regions having time differences; and a maintenance management server connected to the wearable device and the maintenance support terminals. The maintenance management server includes a representative selection unit that selects a maintenance support terminal on the basis of representative level information, the standard work hours being fixed for each of the plurality of regions; and a translation unit that translates audio information transmitted and received between the wearable device and the maintenance support terminal selected by the representative selection unit on a basis of a language set on the wearable device and a language set on the maintenance support terminal selected by the representative selection unit.

公开(公告)号：US20240028007A1

公开(公告)日：2024-01-25

申请号：US18325843

申请日：2023-05-30

Applicant: CANON KABUSHIKI KAISHA

Inventor： Tomonori Sasaki

IPC: G05B19/418

CPC classification number: G05B19/4184 ,  G05B19/4183 ,  G05B2219/24103

Abstract: In a production system, a control unit controls a first apparatus configured to start to operate after a waiting time and a second apparatus configured to starting to operation after a waiting time. A first sensor outputs a value that changes in response to operation of the first apparatus. A second sensor outputs a value that changes in response to operation of the second apparatus. The control unit compares a first time period from a starting of the operation of the first apparatus to an occurrence of a change in the value of the first sensor with a predetermined first threshold value, and compares a second time period from a starting of the operation of the second apparatus to an occurrence of a change in the value of the second sensor with a predetermined second threshold value.

公开(公告)号：US20230409866A1

公开(公告)日：2023-12-21

申请号：US18204239

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：US20230384770A1

公开(公告)日：2023-11-30

申请号：US18248043

申请日：2022-02-24

Applicant: RTM INC.

Inventor： Sang Yeop KIM ,  Jin Woo PARK

IPC: G05B19/418

CPC classification number: G05B19/4184 ,  G05B2219/50065

Abstract: According to the present disclosure, a method of extracting a feature of measurement data using a computing apparatus may include identifying measurement data obtained during a process, identifying target data related to the measurement data, performing a computation on the measurement data based on the target data, extracting a plurality of first values by applying a max pooling layer to the computed measurement data, extracting a plurality of second values by applying a min pooling layer to the computed measurement data, and extracting a plurality of third values related to a feature of the measurement data using the plurality of first values and the plurality of second values.