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1.发明公开公开(公告)号：US20240159844A1
公开(公告)日：2024-05-16
申请号：US18549401
申请日：2022-03-11
发明人： Tobias Klein , Thomas Zengerle , Andreas Schmölzer , Markus Mayrhofer , Luis Javier Carracedo Cordovilla , Ulrich Hüttinger
CPC分类号： G01R31/64 , G01R31/282 , G01R31/2846 , G01R31/2849
摘要： The present invention provides a method for predicting a remaining lifetime of an electrical component of an electrical circuit, the electrical circuit being part of a building management device. The method comprises: estimating (S1) two or more estimated temperatures of the electrical component by using a trained machine learning model of the electrical component that is trained based on training data. Further, the method comprises: generating (S2) a temporal course of temperature of the electrical component based on the two or more estimated temperatures; and computing (S3), based on the temporal course of temperature of the electrical component, an indicator for the remaining lifetime of the electrical component. The present invention also provides a method for predicting a remaining lifetime of an electrical circuit being part of a building management device.
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