SENSOR AND METHOD FOR INDUSTRIAL MACHINERY MONITORING BASED ON SENSOR DATA PROCESSING BY A MACHINE LEARNING ALGORITHM

    公开(公告)号:US20240118673A1

    公开(公告)日:2024-04-11

    申请号:US18463351

    申请日:2023-09-08

    IPC分类号: G05B19/4065

    摘要: Sensor and method for performing industrial machinery monitoring based on sensor data processing by a machine learning algorithm. The sensor stores a predictive model of the machine learning algorithm and receives measurements generated by at least one sensing component of the sensor. For example, the measurements comprise one or more of the following: a temperature of an industrial machine, a measurement of a vibration of the industrial machine, and a sound intensity of the industrial machine. The sensor executes the machine learning algorithm, which uses the predictive model for inferring output(s) based on inputs. The output(s) comprise at least one predicted operating condition of the industrial machine (e.g. a predicted failure). The inputs comprise at least some of the measurements. The machine learning algorithm may implement a neural network. The predictive model may be updated based on feedback generated by the sensor or received from another device.

    Method for Predicting a Service State of a Printing Machine

    公开(公告)号:US20240077846A1

    公开(公告)日:2024-03-07

    申请号:US18241415

    申请日:2023-09-01

    IPC分类号: G05B19/4065

    摘要: A method for predicting a service state of a printing machine at a defined point in time includes:



    measuring a plurality of successive process values of a process parameter which is an indicator of the functionality of the printing machine;
    determining a plurality of successive scatter values which describe the spread of the measured process values within a predetermined time range;
    determining a local scatter minimum of the scatter values;
    determining a baseline, in that a baseline value is established that correlates with the value of the process parameter at the point in time of the local minimum and that does not change up until a new determination of a baseline; and
    determining a health value at a specific point in time, with a predetermined relation of the process value to the baseline value at this point in time. A service state is assessed
    upon the health value exceeding a predetermined threshold.

    Method of operating testing system

    公开(公告)号:US11892816B2

    公开(公告)日:2024-02-06

    申请号:US17449261

    申请日:2021-09-29

    发明人: Cheng-Sung Lai

    IPC分类号: G05B19/4065

    摘要: A method of operating a testing system comprising a plurality of testing slots. The method comprising: testing the testing slots; obtaining a current testing data from the testing slots; determining whether one of the testing slots is abnormal by comparing the current testing data with a former testing data; shutting down the one of the testing slots and sending a repairing notification if the one of the testing slots is determined to be abnormal; performing a confirmation procedure to determine whether the one of the testing slots is repaired to be normal; and restarting the one of the testing slots if the one of the testing slots passes the confirmation procedure.

    INTEGRATED SYSTEM FOR CUSTOMIZED MACHINE TOOL DETECTION

    公开(公告)号:US20230384758A1

    公开(公告)日:2023-11-30

    申请号:US17845139

    申请日:2022-06-21

    申请人: TECOM CO., LTD.

    发明人: Kuo-Chuan HUNG

    IPC分类号: G05B19/4065

    摘要: An integrated system for customized machine tool detection is disclosed in the present invention. The integrated system includes a communication module, a database, a display module, an operation interface, and an integrated module. The integrated system for customized machine tool detection is utilized to save a plurality of machine tool detection sub-systems with a first protocol, make a user choose at least one machine tool detection sub-systems to be a customized machine tool detection system to detect a working machine tool.