Detection of a direct current component in an inductive device

    公开(公告)号:US12044710B2

    公开(公告)日:2024-07-23

    申请号:US17609463

    申请日:2020-05-04

    IPC分类号: G01R19/00 G01H13/00 G01R23/16

    摘要: A method for detecting a direct current component in an inductive device, for example in a transformer or choke, includes using a computer for recording an oscillation signal, either of sound emitted from the device or of mechanical oscillation of the device, determining the frequency range of the oscillation signal, determining the value of at least one odd frequency in the frequency range, comparing the value of the odd frequency with the value of at least one even frequency in the frequency range, and determining a direct current component when the value of the odd frequency differs from the even frequency by a predefined amount. The method can be carried out without measuring equipment in the interior of an inductive device and without the involvement of an expert. A computer program product for carrying out the method is also provided.

    High impedance fault detection and location accuracy

    公开(公告)号:US12013427B2

    公开(公告)日:2024-06-18

    申请号:US17337976

    申请日:2021-06-03

    申请人: Qiushi Cui Yang Weng

    发明人: Qiushi Cui Yang Weng

    IPC分类号: G01R27/16 G01R23/16 G01R31/08

    摘要: High impedance fault (HIF) detection and location accuracy is provided. An HIF has random, irregular, and unsymmetrical characteristics, making such a fault difficult to detect in distribution grids via conventional relay measurements with relatively low resolution and accuracy. Embodiments disclosed herein provide a stochastic HIF monitoring and location scheme using high-resolution time-synchronized data in micro phasor measurement units (μ-PMUs) for distribution network protection. In particular, a fault detection and location process is systematically designed based on feature selections, semi-supervised learning (SSL), and probabilistic learning.

    System, device, method, and program for analysis

    公开(公告)号:US11946962B2

    公开(公告)日:2024-04-02

    申请号:US17552564

    申请日:2021-12-16

    申请人: TOYO Corporation

    摘要: An analysis system includes inference processer circuitry configured to infer a corresponding classification by inputting part of frequency spectrum data corresponding to reference measurement data to a learned model having learned a relation between part of frequency spectrum data corresponding to sample measurement data and a classification related to noise corresponding to the part, causal component identification processer circuitry configured to identify causal component data of noise from a component data list based on the inferred classification, and a presentation information generator configured to generate presentation information for a user based on the causal component data.

    DETECTION CIRCUIT AND RELATED ELECTRONIC APPARATUS

    公开(公告)号:US20230393177A1

    公开(公告)日:2023-12-07

    申请号:US18453862

    申请日:2023-08-22

    发明人: CAN HONG DU

    IPC分类号: G01R23/16

    CPC分类号: G01R23/16

    摘要: Disclosed in the present application are a detection circuit and a related electronic apparatus. A detection circuit is used for determining the amplitude of a received signal that is generated by a receiver after same receives an input signal, and includes an operational amplifier; a capacitor unit, which is coupled between an output end and a negative end of the operational amplifier; a reset switch, which is arranged in parallel with the capacitor unit; a first switch, which is coupled between a reference voltage and an output end of the receiver; and a second switch, which is coupled between the output end of the receiver and the negative end of the operational amplifier, wherein in a general stage, the received signal includes a plurality of waves with a period T.

    DETECTING AND LOCALIZING CABLE PLANT IMPAIRMENTS USING FULL BAND CAPTURE SPECTRUM ANALYSIS

    公开(公告)号:US20230358797A1

    公开(公告)日:2023-11-09

    申请号:US18217816

    申请日:2023-07-03

    摘要: Collect a full band capture spectral reading from a plurality of cable/fiber broadband network customer units (e.g., cable modems or equivalent optical units); for each of the cable/fiber broadband network customer units, construct an ideal spectral reading. For each of the cable/fiber broadband network customer units, subtract the ideal spectral reading from the full band capture spectral reading to obtain a resultant spectrum. For at least one of the cable/fiber broadband network customer units, identify a persistent deviation from zero in the resultant spectrum that does not match a known impairment type. Identify at least one new impairment type corresponding to the persistent deviation from zero. Remediation of the new impairment type can be carried out as appropriate, and/or a detection pattern can be deployed to identify future occurrences of the new impairment type.

    Compressing information in an end node using an autoencoder neural network

    公开(公告)号:US11802894B2

    公开(公告)日:2023-10-31

    申请号:US17023654

    申请日:2020-09-17

    IPC分类号: G01R23/16 G06N3/02

    CPC分类号: G01R23/16 G06N3/02

    摘要: In one embodiment, an apparatus includes: a sensor to sense real world information; a digitizer coupled to the sensor to digitize the real world information into digitized information; a signal processor coupled to the digitizer to process the digitized information into a spectrogram; a neural engine coupled to the signal processor, the neural engine comprising an autoencoder to compress the spectrogram into a compressed spectrogram; and a wireless circuit coupled to the neural engine to send the compressed spectrogram to a remote destination, to enable the remote destination to process the compressed spectrogram.