公开(公告)号：US20230359178A1

公开(公告)日：2023-11-09

申请号：US18313404

申请日：2023-05-08

Applicant: BOBST MEX SA

Inventor： Maxime DELISLE ,  Houda KJI

IPC: G05B19/418

CPC classification number: G05B19/4184 ,  G05B2219/31411

Abstract: A method for tracking the downtime of a production machine (12) comprises the steps of:



Receiving sensor data (SD) from the production machine (12) and production target data (PTD),
Combining the sensor data (SD) and the production target data over a certain period (40) providing combined data (D) and calculating characteristic data (CD) of the combined data (D),
Determining if the combined data (D) is from a downtime period (44) of the production machine (12) based on the characteristic data (CD), and
Characterizing the downtime period (44) using a machine learning module (48) implemented in the control unit (32), the machine learning module (48) providing a reason (R) for the downtime period (44) as an output value.
Further, a system (19) for tracking the downtime of a production machine (12) is shown.