HIGHLIGHTS
- who: Qingzhu Wan et al. from the School of Electric and Control Engineering, North China University of Technology, Beijing100144, China have published the research work: Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks, in the Journal: Sensors 2023, 23,23, x 684 FOR PEER REVIEW Sensors 2023, of /2023/
- what: The authors type achieved 99.27% prediction for the DBN test set, the so the fault classification proposed in this paper was able to accurately taset, and results are shownmethod in Figure 10.
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