NOISE TOLERANT ELECTRICAL DISCHARGE DETECTION

    公开(公告)号:EP4224177A1

    公开(公告)日:2023-08-09

    申请号:EP22212655.9

    申请日:2022-12-09

    IPC分类号: G01R31/12

    摘要: Partial discharge detection techniques are provided. In one aspect, a method (700, 800) of detecting partial discharge in an electrical power system (100) having a power electronics converter (120) is provided. A first current signal (I1) is captured in response to a first applied voltage (V1). A second current signal (12) is captured in response to a second applied voltage (V2), the second applied voltage (V2) being different than the first applied voltage (V1). The first current signal (I1) is set as a reference signal (I REF ). A difference signal (Δ N ) is determined based on the second current signal (12) and the reference signal (I REF ). A determination is made as to whether partial discharge is present based on the difference signal (Δ N ). The method (700, 800) may iterate, and for each iteration, the reference signal (I REF ) is refreshed on a rolling basis as a previously captured current signal ( I N -1 ) measured in response to a previously applied voltage ( V N -1 ). The applied voltage is also stepped up or down for each iteration.

    ONLINE AND OFFLINE PARTIAL DISCHARGE DETECTION FOR ELECTRICAL DRIVE SYSTEMS

    公开(公告)号:EP3961227A1

    公开(公告)日:2022-03-02

    申请号:EP21192243.0

    申请日:2021-08-19

    IPC分类号: G01R31/12

    摘要: Aspects of the present disclosure are directed to systems and methods for detecting Partial Discharge (PD) associated with wide bandgap semiconductor-based electrical drive systems in real time. In one aspect, signals, including noise associated with drive switching and other background noises are detected using a sensing device. The signals are received by a real-time spectrum analyzer. The spectrum analyzer transforms the signals into the frequency domain and determines or registers the frequency domain profiles of the signals. The spectrum analyzer performs signal discrimination between at least one other signal included within the signals and switching noise based on their frequency domain profiles. Based on the discrimination analysis, the presence of a partial discharge signal may be detected. A physics-based signal discrimination approach can also be used for signal discrimination, for example utilizing pressure-dependency of characteristics of a PD signal.