Discovering and resolving training conflicts in machine learning systems

    公开(公告)号:US11941493B2

    公开(公告)日:2024-03-26

    申请号:US16287224

    申请日:2019-02-27

    IPC分类号: G06N20/00 G06N3/08 G06N7/01

    CPC分类号: G06N20/00 G06N3/08 G06N7/01

    摘要: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.

    Transformer fault diagnosis method and system using induced ordered weighted evidence reasoning

    公开(公告)号:US11921169B2

    公开(公告)日:2024-03-05

    申请号:US17496779

    申请日:2021-10-08

    申请人: WUHAN UNIVERSITY

    IPC分类号: G01R31/62 G06N7/01

    CPC分类号: G01R31/62 G06N7/01

    摘要: A transformer fault diagnosis method and system using induced ordered weighted evidence reasoning is provided. The method includes the following steps. A typical data sample of transformer sweep frequency response analysis is loaded and a diagnostic label is set as an identification framework. Test data of a device to be diagnosed is loaded. Basic probability assignment is calculated and a reliability decision matrix is constructed. An induced ordered weighted averaging operator and its induction vector are calculated according to a sample source of the data. An index weight vector is calculated. All evidence is fused by the induced ordered weighted evidence theory and reliability of comprehensive evaluation is calculated, so as to determine a diagnosis result. The disclosure realizes fault identification, fault type distinction and fault position of power equipment by interpreting detection waveforms.