Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network. (arXiv:2207.13267v1 [cs.CV])

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. However, time being consumed in training the
DNN is excessive, and explainability analysis for the FDC neural network is
still underwhelming. A concept known as imagefication-based intelligent FDC has
been studied in recent years. This concept advocates to stack the sensors
measurement data into an image format, the sensors FDC issue is then
transformed to abnormal …

aerospace arxiv classification cv deep neural network detection network neural network sensors