Jian Qin

14 papers Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
Automated Interlayer Wall Height Compensation for Wire Based Directed Energy Deposition Additive Manufacturing.
Sensors
Jian Qin, Javier Vives, Parthiban Raja, Shakirudeen Lasisi, Chong Wang, Thomas Charrett, Jialuo Ding, Stewart Williams, Jonathan Mark Hallam, Ralph P. Tatam
2023 — conf
Fault Diagnosis for Industrial Robots Based on Informer.
ICAC
Junjie Song, Chong Chen, Tao Wang, Chuanhua Deng, Lianglun Cheng, Jian Qin
2023 — conf
Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots.
ICAC
Yuxin Liu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin
2023 J jnl
Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling.
Sensors
Yi Yin, Yingtao Tian, Jialuo Ding, Tim Mitchell, Jian Qin
2023 J jnl
Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies.
J. Ind. Inf. Integr.
Fu Hu, Ying Liu, Yixin Li, Shuai Ma, Jian Qin, Jun Song, Xianfang Sun, Qian Tang
2022 — conf
A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis.
CASE
Taiwang Liang, Chong Chen, Tao Wang, Ao Zhang, Jian Qin
2022 J jnl
Fault diagnosis of industrial robot based on dual-module attention convolutional neural network.
Auton. Intell. Syst.
Kaijie Lu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin
2022 J jnl
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning.
J. Intell. Manuf.
Jian Qin, Yipeng Wang, Jialuo Ding, Stewart Williams
2021 J jnl
Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN - concept, framework and case studies.
CCF Trans. Pervasive Comput. Interact.
Jian Qin, Zhuoqun Li, Rui Wang, Li Li, Zhe Yu, Xun He, Ying Liu
2020 — conf
A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing.
ICPR Workshops (4)
Yixin Li, Fu Hu, Jian Qin, Michael Ryan, Ray Wang, Ying Liu
2020 — conf
Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing.
CASE
Fu Hu, Ying Liu, Jian Qin, Xianfang Sun, Paul Witherell
2019 J jnl
Energy consumption modelling using deep learning embedded semi-supervised learning.
Comput. Ind. Eng.
Chong Chen, Ying Liu, Maneesh Kumar, Jian Qin, Yunxia Ren
2018 J jnl
Multi-source data analytics for AM energy consumption prediction.
Adv. Eng. Informatics
Jian Qin, Ying Liu, Roger I. Grosvenor
2017 — conf
Data analytics for energy consumption of digital manufacturing systems using Internet of Things method.
CASE
Jian Qin, Ying Liu, Roger I. Grosvenor