Jingqiong Zhang
School of Electrical and Electronic Engineering
Research Associate in Data Analytics for Manufacturing
Jingqiong.zhang@sheffield.ac.uk
Amy Johnson Building
Full contact details
Jingqiong Zhang
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Publications
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Journal articles
- A deep learning-enhanced digital twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics and Computer-Integrated Manufacturing, 85. View this article in WRRO
- Revealing the morphology of ink and aerosol jet printed palladium-silver alloys fabricated from metal organic decomposition inks. Advanced Science. View this article in WRRO
- Insights into surface chemistry down to nanoscale: an accessible colour hyperspectral imaging approach for scanning electron microscopy. Materials Today Advances, 19. View this article in WRRO
- Early Detection of the Wear of Coriolis Flowmeters Through In Situ Stiffness Diagnosis. IEEE Transactions on Instrumentation and Measurement, 70, 1-10.
- Temperature measurement of stored biomass using low-frequency acoustic waves and correlation signal processing techniques. Fuel, 227, 89-98.
- Predicting the amount of coke deposition on catalyst pellets through image analysis and soft computing. Measurement Science and Technology, 27(11), 114006-114006.
Conference proceedings papers
- Mass Flow Measurement of Slurry Using Coriolis Flowmeters. 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 22 May 2023 - 25 May 2023.
- Coordinated control strategy of wind/battery energy storage system hybrid power output based on adaptive dynamic programming. 2016 12th World Congress on Intelligent Control and Automation (WCICA), 12 June 2016 - 15 June 2016.
- Coke deposition detection through the analysis of catalyst images. 2015 IEEE International Conference on Imaging Systems and Techniques (IST), 16 September 2015 - 18 September 2015.
Datasets
- A deep learning-enhanced digital twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics and Computer-Integrated Manufacturing, 85. View this article in WRRO