Open Access Journal of Engineering Applications
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Principal Component Analysis for RF Energy Harvesting

Diego Novak Corresponding 0000-0002-2371-5413
Zhejiang University
Fatima Sharma
Imperial College London
30 Sep 2024
pp. 616-647
https://doi.org/10.55555/oajea.2024.4802.032

Abstract

Accurate prediction of RF energy harvesting is essential for the design, operation, and maintenance of ready-made garment factories. The framework was implemented and its predictions benchmarked using scanning electron microscopy. The technique detected faults 5 times faster than the conventional method. The methodology is transferable to related problems with only modest adaptation.
Keywords: RF energy harvestingscanning electron microscopyfinite element analysisconvolutional neural networks

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