SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR PROVIDING A MAINTENANCE RECOMMENDATION FOR A CATALYST

    公开(公告)号:US20240157296A1

    公开(公告)日:2024-05-16

    申请号:US18549195

    申请日:2021-11-30

    申请人: BASF Corporation

    发明人: Yi Liu William Hizny

    摘要: Methods, systems, and computer readable media are disclosed for providing a maintenance recommendation for a catalyst based on a trained machine learning model. The method includes: extract training data comprising one or more parameters from each catalyst of a plurality of catalysts: classify the training data in accordance with at least one catalyst feature at least one of the contaminations of the catalyst: determine a feature vector from the classified training data based on the one or more parameters extracted from catalyst of the plurality of catalysts, generate a performance baseline curve from the training data in accordance with the destruction removal efficiency (DRE) of a gas; and provide based on the trained machine learning model a maintenance recommendation for the catalyst.