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.

  • 6 Similar Profiles
Air refueling Engineering & Materials Science
Bearings (structural) Engineering & Materials Science
eigenvalues Physics & Astronomy
Air Engineering & Materials Science
Helicopters Engineering & Materials Science
Testing Engineering & Materials Science
Fault detection Engineering & Materials Science
Robotics Engineering & Materials Science

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

Projects 2016 2021

Drill Guidance System in Orthopaedic Surgery

Du Bois, J. & Georgilas, I.


Project: Central government, health and local authorities

Techniques for Nonlinear Real-Time Hybrid Testing

Du Bois, J.


Project: Research council

Future Unmanned Aerial Systems Traffic Management (UTM)

Cleaver, D., Du Bois, J. & Iravani, P.


Project: Central government, health and local authorities

UK Beyond Visual Line of Sight Operations

Cleaver, D., Du Bois, J. & Iravani, P.


Project: Central government, health and local authorities

Research Output 2001 2018

  • 16 Paper
  • 15 Article
  • 4 Conference contribution
  • 1 Other chapter contribution
Bearings (structural)
Failure analysis
Aircraft engines
Machine components

A comparison of analytical and empirical controllers for the SLIP hopper

Hale, M. F., du Bois, J. L. & Iravani, P. 20 Jul 2017 Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. Germany: Springer Verlag, p. 79-85 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10454 )

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Inverted Pendulum

Hybrid Tests of Contact Events in Air-to-Air Refuelling

Bolien, M., Iravani, P., Richardson, T. S., Robertsson, A. & Du Bois, J. Nov 2017 (Submitted) In : AIAA Journal of Aircraft.

Research output: Contribution to journalArticle

4 Citations

Phase editing as a signal pre-processing step for automated bearing fault detection

Barbini, L., Ompusunggu, A. P., Bartic, A., Hillis, A. & Du Bois, J. Jul 2017 In : Mechanical Systems and Signal Processing. 91, p. 407-421

Research output: Contribution to journalArticle

Open Access
Bearings (structural)
Damage detection
Fault detection

Phase editing to enhance bearing fault detection in variable speed condition

Barbini, L., Eltabach, M. & Du Bois, J. 16 Jun 2017

Research output: Contribution to conferencePaper

Open Access
Bearings (structural)
Fault detection