Blar i NTNU Open på forfatter "Ren, Lei"
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Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
Ren, Lei; Sun, Yaqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)Cyber-physical-social system (CPSS) has drawn tremendous attention in industrial applications such as industrial Internet of Things (IIoT). As the fundamental component of IIoT, bearings play an increasingly important role ... -
Prediction of shale gas reservoirs using fluid mobility attribute driven by post-stack seismic data: A case study from Southern China
Zeng, Jing; Stovas, Alexey; Huang, H.; Ren, Lei; Tang, Tao (Peer reviewed; Journal article, 2021)Paleozoic marine shale gas resources in Southern China present broad prospects for exploration and development. However, previous research has mostly focused on the shale in the Sichuan Basin. The research target of this ... -
Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach
Ren, Lei; Zhao, Li; Hong, Sheng; Zhao, Shiqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ...