Reconstruction of Fault Signal in 24 Pulse Recti fier
When the 24-pulse recti fier has failed, the amount of fault signal generated was large, and the sparsity was low, so the fault warning cannot be accurately performed. A method based on compressed sensing theory (CS) was proposed for fault signal recovery and reconstruction. Firstly, the 24-pulse re...
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| Main Author: | |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2021-11-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.06.018 |
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| Summary: | When the 24-pulse recti fier has failed, the amount of fault signal generated was large, and the sparsity was low, so the fault warning cannot be accurately performed. A method based on compressed sensing theory (CS) was proposed for fault signal recovery and reconstruction. Firstly, the 24-pulse recti fier model was built in MATLAB to simulate the fault signal. Secondly, the original fault signal was sparsely represented by redundant dictionary, and a piecewise orthogonal matching pursuit (Dice-StOMP)algorithm based on Dice coefficient similarity matching criterion was proposed, which used Dice coefficient similarity matching criterion to replace the inner product metric matching criterion, so as to optimize the support set and recover the original signal.Finally, the validity of the model and the superiority of the algorithm were veri fied in MATLAB. The simulation results show that the built model can correctly simulate the fault signal, and the proposed algorithm has higher reconstruction accuracy and shorter reconstruction time than other recovery algorithms. |
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| ISSN: | 1000-128X |