Jian Qin

Orcid: 0000-0002-2692-4952

Affiliations:

Cranfield University, Welding Engineering and Laser Processing Centre, School of Aerospace, Transport and Manufacturing, UK
Cardiff University, High-value Manufacturing Research Group, School of Engineering, UK

According to our database¹, Jian Qin authored at least 14 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Bibliography

2023

Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling.

[BibT_eX]

[DOI]

Sensors, October, 2023

Automated Interlayer Wall Height Compensation for Wire Based Directed Energy Deposition Additive Manufacturing.

[BibT_eX]

[DOI]

Sensors, October, 2023

Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies.

[BibT_eX]

[DOI]

J. Ind. Inf. Integr., August, 2023

Fault Diagnosis for Industrial Robots Based on Informer.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Automation and Computing, 2023

Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Automation and Computing, 2023

2022

Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2022

Fault diagnosis of industrial robot based on dual-module attention convolutional neural network.

[BibT_eX]

[DOI]

Auton. Intell. Syst., 2022

A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN - concept, framework and case studies.

[BibT_eX]

[DOI]

CCF Trans. Pervasive Comput. Interact., 2021

2020

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Energy consumption modelling using deep learning embedded semi-supervised learning.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2019

2018

Multi-source data analytics for AM energy consumption prediction.

[BibT_eX]

[DOI]

Jian Qin

Ying Liu

Roger I. Grosvenor

Adv. Eng. Informatics, 2018

2017

Data analytics for energy consumption of digital manufacturing systems using Internet of Things method.

[BibT_eX]

[DOI]

Jian Qin

Ying Liu

Roger I. Grosvenor

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Jian Qin

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