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Rapid Recognition System of Circuit Breaker Status Based on Wavelet Packet Decomposition and SVM

机译:基于小波包分解和SVM的断路器状态快速识别系统

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For circuit breaker failure state is difficult to identify quickly, this paper put forward a rapid recognition method of circuit breaker status based on wavelet packet decomposition and Support Vector Machine (SVM). After db3 wavelet packet decomposition, the extracted circuit breaker vibration signal has a two-stage classification in SVM and the circuit breaker status will be quickly identified. The experimental results show that rapid recognition system of circuit breaker status based on wavelet packet decomposition and SVM can improve the speed of the circuit breaker fault diagnosis effectively without reducing the diagnosis accuracy.
机译:对于断路器故障状态难以快速识别,本文提出了一种基于小波包分解和支持向量机(SVM)的断路器状态的快速识别方法。在DB3小波分组分解之后,提取的断路器振动信号在SVM中具有两级分类,并且将快速识别断路器状态。实验结果表明,基于小波分组分解的断路器状态快速识别系统和SVM可以有效地提高断路器故障诊断的速度,而不会降低诊断精度。

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