Control rod driving mechanism coil current anomaly detection method based on wavelet graph
The invention discloses a control rod driving mechanism coil current anomaly detection method based on a wavelet graph, and the method comprises the steps: obtaining a coil current, and carrying out the division through a sliding window; selecting a wavelet basis function, performing multi-layer wav...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a control rod driving mechanism coil current anomaly detection method based on a wavelet graph, and the method comprises the steps: obtaining a coil current, and carrying out the division through a sliding window; selecting a wavelet basis function, performing multi-layer wavelet decomposition on the coil current in each sliding window, and constructing a wavelet graph model of the current sliding window according to a sub-band wavelet packet coefficient set obtained after the multi-layer wavelet decomposition; and judging whether a current pit exists or not according to the wavelet graph model of the adjacent sliding window so as to obtain a coil current anomaly detection result. Coil current signals are analyzed based on wavelet decomposition, pit points in the current signals are detected, subtle changes in the movement process can be detected, and intelligent diagnosis of the control rod driving mechanism is achieved.
本发明公开一种基于小波图的控制棒驱动机构线圈电流异常检测方法,包括:获取线圈电流,并采用滑动窗进行划分;选择小波基函数,以此对每 |
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