Patent search cpc:"G05B23/0229" Page 1

1.

发明授权
Method to restore the functional state of an automatic machine for the production or the packaging of consumer products 有权

公开(公告)号：US12130615B2

公开(公告)日：2024-10-29

申请号：US17610138

申请日：2020-05-29

Applicant: G.D SOCIETA' PER AZIONI

Inventor： Daniela Albertini , Gianluca Bertuzzi , Luca Federici

IPC: G05B23/02 , G05B19/042

CPC classification number: G05B23/0229 , G05B19/0426 , G05B2219/23253

Abstract: A method to restore the functional state of an automatic machine for the production or the packaging of consumer products. The method comprises the steps of: storing a first knowledge base containing a plurality of problematic operating conditions having a corresponding known fault; training the data processing system by associating ate least one solution to each problematic operating condition and storing a second knowledge base containing the solution; identifying a current operating condition; searching, among all the problematic operating conditions stored in the first knowledge base, for the problematic operating condition that is the most similar to the current operating condition; and communicating to an operator the solution associated with the corresponding problematic operating condition and stored inside the second knowledge base.

2.

发明公开
COMPUTER-IMPLEMENTED METHOD FOR PROVIDING EXPLANATIONS CONCERNING A GLOBAL BEHAVIOR OF A MACHINE LEARNING MODEL 审中-公开

公开(公告)号：US20240353827A1

公开(公告)日：2024-10-24

申请号：US18291669

申请日：2022-07-26

Applicant: Siemens Aktiengesellschaft

Inventor： Michael Lebacher

IPC: G05B23/02

CPC classification number: G05B23/0229 , G05B23/0272

Abstract: A computer-implemented method for providing information concerning a global behavior of a machine learning model trained with measured sensor data representing technical parameters of a technical system and used to evaluate the technical system, including, receiving the machine learning model and measured sensor data generating a number of synthetic sensor data by a synthetic data generator, predicting labels for the synthetic sensor data and the measured sensor data by the result of the machine learning model when processing the synthetic sensor data and the measured sensor data as input data, training a surrogate model based on the synthetic sensor data and measured sensor data and the predicted labels, calculating an agreement accuracy indicating the similarity of a result of the surrogate model compared to a result of the machine learning model, outputting to a user interface the trained surrogate model and the agreement accuracy.

3.

发明授权
Determining causal models for controlling environments 有权

公开(公告)号：US12055903B2

公开(公告)日：2024-08-06

申请号：US17439105

申请日：2019-09-11

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Himanshu Nayar , Frederick J. Arsenault , Nicholas A. Johnson , Brian E. Brooks , Gilles J. Benoit , Peter O. Olson , Tyler W. Olson

IPC: G05B13/04 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/02 , G05B19/4065 , G05B19/418 , G05B23/02 , G06F18/21 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/0631 , G06Q10/0639 , G06Q30/0202 , G06Q10/087

CPC classification number: G05B13/042 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/021 , G05B13/024 , G05B13/0265 , G05B13/041 , G05B19/4065 , G05B19/41835 , G05B23/0229 , G05B23/0248 , G06F18/2193 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/06315 , G06Q10/06395 , G06Q30/0202 , 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 identifying a procedural instance; selecting control settings for the procedural instance, comprising, for a particular one of the controllable elements: assigning the procedural instance to a cluster for the particular controllable element in accordance with current values of a set of clustering parameters for the particular controllable element; and selecting a setting for the particular controllable element for the procedural instances based on a causal model that is specific to the cluster; obtaining environment responses to the selected control settings that define a value of the performance metric for the procedural instance; and updating, for the particular controllable element, the causal model for the cluster for the controllable element to which the procedural instance was assigned based on the value of the performance metric.

4.

发明授权
Determining causal models for controlling environments 有权

公开(公告)号：US11966204B2

公开(公告)日：2024-04-23

申请号：US17438725

申请日：2019-09-11

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Gilles J. Benoit , Brian E. Brooks , Peter O. Olson , Tyler W. Olson , Himanshu Nayar , Frederick J. Arsenault , Nicholas A. Johnson

IPC: G05B13/04 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/02 , G05B19/4065 , G05B19/418 , G05B23/02 , G06F18/21 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/0631 , G06Q10/0639 , G06Q10/087 , G06Q30/0202

CPC classification number: G05B13/042 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/021 , G05B13/024 , G05B13/0265 , G05B13/041 , G05B19/4065 , G05B19/41835 , G05B23/0229 , G05B23/0248 , G06F18/2193 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/06315 , G06Q10/06395 , G06Q30/0202 , 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 repeatedly selecting, by a control system for the environment, control settings for the environment based on internal parameters of the control system, wherein: at least some of the control settings for the environment are selected based on a causal model, and the internal parameters include a first set of internal parameters that define a number of previously received performance metric values that are used to generate the causal model for a particular controllable element; obtaining, for each selected control setting, a performance metric value; determining that generating the causal model for the particular controllable element would result in higher system performance; and adjusting, based on the determining, the first set of internal parameters.

5.

发明公开
ASSISTANCE APPARATUS AND METHOD FOR AUTOMATICALLY IDENTIFYING FAILURE TYPES OF A TECHNICAL SYSTEM 审中-公开

公开(公告)号：US20240118685A1

公开(公告)日：2024-04-11

申请号：US18265730

申请日：2021-11-17

Applicant: Stefan Hagen Weber , Johannes Kehrer , Johanna Bronner , Cecilia Margareta Bruhn , Michael Schnurbusch

Inventor： Stefan Hagen Weber , Johannes Kehrer , Johanna Bronner , Cecilia Margareta Bruhn , Michael Schnurbusch

IPC: G05B23/02

CPC classification number: G05B23/0229 , G05B23/0221

Abstract: Assistance apparatus for automatically identifying failure types of a technical system is provided including at least one processor configured to determine for each sensor data a set of specific temporal courses of first time series of the sensor data of the sensor and assign a symbolic representation to each of the different specific temporal courses, provide at least one failure pattern, obtain more than one monitored time series of sensor data of the technical system, each of them divided into a sequence of time segments, and automatically assign to each time segment a symbolic representations according to the temporal course of the sensor data in the time segment, calculate a similarity measure for the set of symbolic representations of a selected time interval, determine a ranking of the failure pattern depending on decreasing values of the calculated similarity measure, and output the ranking.

6.

发明授权
Determining causal models for controlling environments 有权

公开(公告)号：US11927926B2

公开(公告)日：2024-03-12

申请号：US17437221

申请日：2019-09-11

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 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/02 , G05B19/4065 , G05B19/418 , G05B23/02 , G06F18/21 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/0631 , G06Q10/0639 , G06Q30/0202 , G06Q10/087

CPC classification number: G05B13/042 , B60W40/064 , B60W40/08 , B60W40/105 , G05B13/021 , G05B13/024 , G05B13/0265 , G05B13/041 , G05B19/4065 , G05B19/41835 , G05B23/0229 , G06F18/2193 , G06N5/043 , G06N5/046 , G06N7/01 , G06Q10/06315 , G06Q10/06395 , G06Q30/0202 , 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 repeatedly selecting control settings for the environment based on (i) a causal model that identifies causal relationships between possible settings for controllable elements in the environment and environment responses that reflect a performance of the control system in controlling the environment and (ii) current values of a set of internal parameters; and during the repeatedly selecting: monitoring environment responses to the selected control settings; determining, based on the environment responses, an indication that one or more properties of the environment have changed; and in response, modifying the current values of one or more of the internal parameters.

7.

发明授权
Systems and methods for enabling user selection of components for data collection in an industrial environment 有权

公开(公告)号：US11836571B2

公开(公告)日：2023-12-05

申请号：US17558811

申请日：2021-12-22

Applicant: Strong Force IoT Portfolio 2016, LLC

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

IPC: G05B19/418 , G05B19/042 , G05B23/02 , G01M13/045 , G05B13/02 , G01M13/04 , G06Q10/04 , G06Q30/02 , G06Q30/06 , G06Q50/00 , G06N3/02 , H04B17/23 , H04B17/309 , H04B17/318 , H04B17/345 , H04L1/00 , H04L1/18 , H04L67/1097 , H04L67/12 , H04W4/38 , G06N3/006 , G06N5/046 , H04W4/70 , G16Z99/00 , G01M13/028 , G06N3/084 , G06N3/088 , G06Q10/0639 , H04L1/1867 , H03M1/12 , G06F18/21 , G06N3/044 , G06N3/045 , G06N3/047 , G06N7/01 , G06V10/778 , H02M1/12 , G06N20/00 , G06F17/18 , G06Q10/06 , G06N3/04 , G06N3/08 , G06N5/04 , H04B17/29 , H04B17/40 , H04L67/306 , H04L5/00 , B62D5/04 , G06N3/126 , G06F18/25

CPC classification number: G06N3/006 , 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 , G06N3/02 , 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 , 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 , H04B17/29 , H04B17/40 , H04L1/0009 , H04L5/0064 , H04L67/306 , Y02P80/10 , Y02P90/02 , Y02P90/80 , Y04S50/00 , Y04S50/12 , Y10S707/99939

Abstract: Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

8.

发明公开
DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND RECORDING MEDIUM 审中-公开

公开(公告)号：US20230350875A1

公开(公告)日：2023-11-02

申请号：US18168572

申请日：2023-02-14

Applicant: Yokogawa Electric Corporation

Inventor： Ryosuke KIMURA

IPC: G05B23/02 , G06F16/23

CPC classification number: G06F16/2365 , G05B23/0229

Abstract: (SOLUTION) Provided is a data processing apparatus including: a data acquisition unit for acquiring time-series data regarding running of an apparatus; a stop acquisition unit for acquiring a stop of the running of the apparatus; and a correction unit for correcting, after changing a reference value according to an amount of variation in the data between before and after a stop period of the apparatus, the data using the value. Provided is a data processing apparatus including: a data acquisition unit for acquiring time-series data regarding running of an apparatus; a stop acquisition unit for acquiring a stop of the running of the apparatus; an output unit for outputting an amount of variation in the data between before and after a stop period of the apparatus; and a correction unit for correcting, after changing a reference value upon receiving an instruction corresponding to the output, the data using the value.