知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

1478 records (took 0.024 seconds)

    SYSTEM AND METHOD FOR PREDICTING SHUTDOWN ALARMS IN BOILER USING MACHINE LEARNING
    51.
    发明公开
    SYSTEM AND METHOD FOR PREDICTING SHUTDOWN ALARMS IN BOILER USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20230359194A1

    公开(公告)日：2023-11-09

    申请号：US18029262

    申请日：2021-02-02

    Applicant: The Cleaver-Brooks Company, Inc.

    Inventor： John F. Dickson ,  Rakesh Zala ,  Neeraj Kumar ,  Terry Gene Conger

    IPC: G05B23/02 ,  F23N5/24

    CPC classification number: G05B23/0283 ,  F23N5/242

    Abstract: Systems and methods for anticipating shutdown alarms for a boiler system by way of one or more machine learning (ML) or artificial intelligence (AI) models are disclosed herein. In an example embodiment, a method for anticipating shutdown alarms with respect to a boiler by way of a ML model includes receiving and storing, at one or more storage devices, a plurality of types of boiler-related data that are received at least indirectly from a plurality of internet of things (IoT) devices. The method also includes preprocessing and feature engineering the plurality of types of boiler-related data to arrive at a training data set, training the ML model, and deploying the trained model. The method further includes receiving additional boiler-related data concerning the boiler and, by way of the model, determining an alarm prediction concerning an anticipated alarm, and taking at least one action based at least upon the prediction.

    SYSTEM AND METHOD OF PREDICTING FAILURES
    52.
    发明公开
    SYSTEM AND METHOD OF PREDICTING FAILURES 审中-公开

    公开(公告)号：US20230359193A1

    公开(公告)日：2023-11-09

    申请号：US18028545

    申请日：2021-11-25

    Applicant: JIO PLATFORMS LIMITED

    Inventor： Akansha KUMAR ,  Krusheel MUNNANGI ,  Shailesh KUMAR

    IPC: G05B23/02

    CPC classification number: G05B23/0283

    Abstract: A system and method for prediction of failures and optimization, that can provide solution available for unsupervised learning models based on limited data that can predict different types of failure and pre-failure instances. The solution provides improvement upon previous methods of labelling by marking certain days data ahead of failure as belonging to failure data which will result in reduction of noisy data and improves good working condition data. The present invention helps with improved data quality due to labelling as the proposed method models complex distributions of feature vectors accurately and are better at finding deviations from normal data distribution which is used for detecting failures. The novel solution help to analyse and categorise the type of failures for PC Pumps currently deployed in CBM Fields for which failure days in advance can be predicted.

    INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING APPARATUS
    56.
    发明公开
    INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING APPARATUS 审中-公开

    公开(公告)号：US20230315083A1

    公开(公告)日：2023-10-05

    申请号：US18127915

    申请日：2023-03-29

    Applicant: OMRON CORPORATION

    Inventor： Tatsuya SASAKI

    IPC: G05B23/02

    CPC classification number: G05B23/0283

    Abstract: An information processing system includes: an obtaining module configured to obtain time-series data from a control device; a decision module configured to decide a plurality of different types of feature values based on combination of a first function that defines a range used for feature value calculation in a target piece of the time-series data and a second function that defines a statistic used as feature value; and an assessment module configured to assess the time-series data for each of the plurality of different types of feature values.

    Valve wear state grasping method and system using valve stem angular velocity
    58.
    发明授权
    Valve wear state grasping method and system using valve stem angular velocity 有权

    公开(公告)号：US11761556B2

    公开(公告)日：2023-09-19

    申请号：US15734673

    申请日：2019-06-06

    Applicant: KITZ CORPORATION

    Inventor： Yu Inoue ,  Masahiro Kazama ,  Isao Nishizawa

    IPC: F16K37/00 ,  G05B23/02

    CPC classification number: F16K37/0025 ,  F16K37/0041 ,  G05B23/02 ,  G05B23/0283

    Abstract: A valve state grasping system that can be easily retrofitted to any of various existing or operating valves (rotary valves) and actuators, and in particular, even facilities to which commercial power is not supplied, and allows detailed and accurate state grasping and diagnosis or failure prediction for the valve or actuator. The valve state grasping system is configured to perform, based on angular velocity data of a valve stem which opens and closes the valve, state monitoring, diagnosis, and life prediction of this valve. To the valve stem, a monitoring unit having at least a semiconductor-type gyro sensor is attachably and detachably fixed. The angular velocity data includes angular velocity data acquired from this monitoring unit in accordance with a rotational motion of a valve body from being fully open or fully closed to fully closed or fully open.

Patent Agency Ranking