2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
Zhongzhi Li, Rong Fan, Jingqi Tu +3
Fault diagnosis plays a crucial role in maintaining the operational integrity of mechanical systems, preventing significant losses due to unexpected failures. As intelligent manufa…
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…