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公开(公告)号：US11610140B2
公开(公告)日：2023-03-21
申请号：US16233474
申请日：2018-12-27
发明人： Alexander Graf , David Sulkin
摘要： The example embodiments are directed to a system and method which can predict a degradation in the health of an asset that heals based on data sensed from a machine or equipment operated by the asset that heals and in consideration of healing of the asset. In one example, a method may include one or more of storing time-series data of an operation of a machine, predicting a fatigue value of an operator of the machine via a predictive model that comprises a Rainflow counting algorithm that determines a degradation of the operator based on a changing attribute in the time-series data and a healing function that determines a healing component of the operator based on rest of the operator, and outputting information about the predicted fatigue value via a user interface.
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公开(公告)号：US11556837B2
公开(公告)日：2023-01-17
申请号：US16233499
申请日：2018-12-27
发明人： Siyu Wu , Alexander Graf
摘要： The example embodiments are directed to a continuously expanding cross-domain featuring engineering system. In one example, a method may include one or more of storing predictive features in a cross-domain data store, the predictive features previously used in machine learning modeling in a plurality of different domains, receiving data of an asset included in a target domain and information about an evaluation attribute associated with the asset in the target domain, determining a predictive feature in the received data based on a previously used predictive feature stored in the cross-domain data store which is associated with a machine learning model in a different domain and the evaluation attribute, and outputting the determined predictive feature for display via a user interface.
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