Robust fault‐detection based on residual K–L divergence for wind turbines
Sign Up to like & getrecommendations! Published in 2019 at "IET Renewable Power Generation"
DOI: 10.1049/iet-rpg.2018.6190
Abstract: A robust fault-detection design based on residual Kullback-Leibler (K-L) divergence, which is applied to a 5 MW offshore wind turbine (WT) benchmark, is presented. The main challenges of the wind turbine fault detection lie in… read more here.
Keywords: based residual; robust fault; divergence; fault detection ... See more keywords
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3148110
Abstract: Limited-angle CT is a challenging problem in real applications. Incomplete projection data will lead to severe artifacts and distortions in reconstruction images. To tackle this problem, we propose a novel reconstruction framework termed Deep Iterative… read more here.
Keywords: iterative optimization; based residual; limited angle; deep iterative ... See more keywords
Detecting stealthy attacks against industrial control systems based on residual skewness analysis
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1389-1
Abstract: With the integration of the modern industrial control systems (ICS) with the Internet technology, ICS can make full use of the rich resources on the Internet to facilitate remote process control. However, every coin has… read more here.
Keywords: control systems; control; industrial control; stealthy attacks ... See more keywords