David Flynn — Heriot-Watt University

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

3 Similar Profiles

DC-DC converters Engineering & Materials Science

Electrodeposition Engineering & Materials Science

Inductance Engineering & Materials Science

Health Engineering & Materials Science

Solenoids Engineering & Materials Science

Asset management Engineering & Materials Science

Copper Engineering & Materials Science

Aspect ratio Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2018

36 Conference contribution
25 Paper
25 Article
3 Commissioned report
10 More

Accurately Forecasting the Health of Energy System Assets

Tang, W., Andoni, M., Robu, V. & Flynn, D. 15 Jan 2018 (Accepted/In press) International Symposium on Circuits and Systems: Modelling, Dynamics & Control of Energy Grids & Systems. IEEE

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Health

Lithium-ion batteries

A digitally-driven Hybrid Manufacturing process for the flexible production of engineering ceramic components

Flynn, D., Kay, R. W., Harris, R. A. & Hinton, J. 4 Jun 2018 (Accepted/In press) Proceedings of the 29th Annual International Solid Freeform Fabrication Symposium.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3D printers

Extrusion

Machining

Porosity

Surface roughness

An Advanced Gas Metal Arc Welding Machine Design for Low Spatter Welding

Wu, M. & Flynn, D. 10 Mar 2018 (Accepted/In press) Proceedings 2018 IEEE 27th International Symposium on Industrial Electronics. IEEE

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

File

Welding machines

Gas metal arc welding

Machine design

Welding

Metals

Big Data Analytics in the Smart Grid: Big Data Analytics, Machine Learning and Artificial Intelligence in the Smart Grid: Introduction, Benefits, Challenges and Issues

Pullum, L. L., Jindal, A., Roopaei, M., Diggewadi, A., Andoni, M., Zobaa, A., Alam, A., Bani-Ahmed, A., Ngo, Y., Vyas, S., Kumar, R., Robu, V., Flynn, D., Caputo, P. & Rajski Parashis, A. 16 Feb 2018 IEEE. 38 p.

Research output: Book/Report › Other report

Artificial intelligence

Learning systems

Distributed power generation

Electronic data interchange

Power generation

Certification of Safe and Trusted Robotic Inspection of Assets

Dinmohammadi, F., Fisher, M., Flynn, D., Jump, M., Page, V., Patchett, C., Robu, V., Tang, W. & Webster, M. 15 Jun 2018 (Accepted/In press) Proceedings of the 2018 Prognostics and System Health Management Conference.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution