Power Quality Disturbance Classification Based on Compressed Sensing and Deep Convolution Neural Networks
By analyzing the recovery and reconstruction process of various power quality single disturbances and composite disturbance signals, we proposed a set of acquisition methods suitable for power quality disturbance (PQD) signals. The proposed acquisition method is applied to the compression sensing (C...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8735661/ |