most citedFault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2022★ 2 cited

Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network

Zhongzhi Li, Yunmei Zhao, Jinyi Ma +2

Compared with traditional model-based fault detection and classification (FDC) methods, deep neural networks (DNN) prove to be effective for the aerospace sensors FDC problems. How…

cs.CV2022

Augmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors

Hang Zhao, Jinyi Ma, Zhongzhi Li +2

In this paper, a novel data-driven approach named Augmented Imagefication for Fault detection (FD) of aircraft air data sensors (ADS) is proposed. Exemplifying the FD problem of ai…