EMPLOYING A BATCH MODEL IN ROOT CAUSE ANALYSIS OF INDUSTRIAL BATCH PERFORMANCE ANALYTICS

    公开(公告)号:US20250147501A1

    公开(公告)日:2025-05-08

    申请号:US18503866

    申请日:2023-11-07

    Abstract: A method may include receiving, via a processing system, a selection of a first dataset associated with one or more operations of one or more industrial automation components of an industrial system that may perform a batch operation. The method may involve generating an optimized dataset based on the dataset, receiving a second dataset associated with one or more additional operations of one or more additional industrial automation components of an additional industrial system that may perform an additional batch operation, and determining one or more deviations between the optimized dataset and the second dataset. The method may also involve determining a contribution of each of a set of parameters to the one or more deviations and generating a visualization representative of the contribution of each of a set of parameters to the deviation.

    SYSTEMS AND METHODS FOR BATCH SYNCHRONIZATION IN INDUSTRIAL BATCH ANALYTICS

    公开(公告)号:US20240370007A1

    公开(公告)日:2024-11-07

    申请号:US18457478

    申请日:2023-08-29

    Abstract: An illustrative method includes a batch analytic system receiving batch data of a batch generated in an industrial process, wherein the batch data includes K samples collected during the batch and each sample includes J values corresponding to J process variables of the industrial process, applying, for each process variable among the J process variables of the industrial process, a first function to K values of the process variable in the K samples of the batch to determine a first feature value of the process variable for the batch, aggregating first feature values corresponding to the J process variables that are determined for the batch using the first function to form a batch representation of the batch, and performing an operation using the batch representation of the batch.

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