CONTROL DEVICE HAVING A MONITORING UNIT
    4.
    发明公开

    公开(公告)号:US20240184262A1

    公开(公告)日:2024-06-06

    申请号:US18552815

    申请日:2022-03-28

    发明人: Yevgen Kogan

    IPC分类号: G05B19/048

    CPC分类号: G05B19/048 G05B2219/50198

    摘要: A control device for controlling a machine or system includes a monitoring unit designed and configured to monitor the functional state of a second control unit such that, when the second control unit is in an activated functional state, by which the machine or system is put into a safe state, the monitoring unit connects at least one input means associated with the second control unit to a first control unit such that non-safety-relevant functions of the machine or system can be triggered by manual actuation of the input means, as long as the second control unit is in its activated functional state in which the input means is not connected to the machine or system as a proper safety switching means.

    Systems and methods for wear assessment and part replacement timing optimization

    公开(公告)号:US11961052B2

    公开(公告)日:2024-04-16

    申请号:US17123058

    申请日:2020-12-15

    申请人: Caterpillar Inc.

    IPC分类号: G06Q10/20 G05B19/048

    CPC分类号: G06Q10/20 G05B19/048

    摘要: A method for part replacement timing optimization. The method includes training a wear estimate model. Training the model includes predicting a plurality of wear patterns for a part, each wear pattern corresponding to a degree of severity. Training images are rendered for each wear pattern. Each of the training images is labeled with the corresponding degree of severity. A neural network is then trained with the labeled training images. An image of a deployed part associated with a machine is received and fed into the trained wear estimate model. The method further includes receiving a wear estimate for the part image from the trained wear estimate model, estimating a change in performance of the machine based on the wear estimate, and determining a machine utilization pattern for the machine. The machine utilization pattern and the change in performance estimate are combined to determine an optimal time to replace the part.