No photo of David Harrison

David Harrison

Professor

  • 70 Cowcaddens Road, Glasgow Caledonian University

    G4 0BA Glasgow

    United Kingdom

20012019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where David Harrison is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 14 Similar Profiles
Virtual reality Engineering & Materials Science
Bearings (structural) Engineering & Materials Science
Failure analysis Engineering & Materials Science
Centrifugal pumps Engineering & Materials Science
Gait analysis Engineering & Materials Science
Visualization Engineering & Materials Science
Machining Engineering & Materials Science
Feature extraction Engineering & Materials Science

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

Research Output 2001 2019

Centrifugal pump condition monitoring and diagnosis using frequency domain analysis

Ali Saud Al Tobi, M., Bevan, G., Wallace, P., Harrison, D. & Ramachandran, K. P., 30 Apr 2019, Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Sixth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2018, 20-22 June, 2018, Santander, Spain. Fernandez Del Rincon, A., Viadero Rueda, F., Chaari, F., Zimroz, R. & Haddar, M. (eds.). Cham: Springer, p. 122-131 10 p. (Applied Condition Monitoring; vol. 15).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Frequency domain analysis
Centrifugal pumps
Condition monitoring
Bearings (structural)
Pumps
3 Downloads (Pure)

Fault diagnosis of a centrifugal pump using MLP-GABP and SVM with CWT

Ali Saud Al Tobi, M., Bevan, G., Wallace, P., Harrison, D. & Ramachandran, K. P., Jun 2019, In : Engineering Science and Technology, an International Journal. 22, 3, p. 854-861 8 p.

Research output: Contribution to journalArticle

Open Access
File
Centrifugal pumps
Wavelet transforms
Failure analysis
Support vector machines
Genetic algorithms

Reducing driver distraction by utilizing augmented reality head-up display system for rear passengers

Wang, S., Charissis, V., Lagoo, R., Campbell, J. & Harrison, D. K., 7 Mar 2019, 2019 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 6 p.

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

Open Access
File
Augmented reality
Virtual reality
Railroad cars
Simulators
Display devices
6 Downloads (Pure)

Characterisation and optimisation of a failure model for high strength aluminium alloys using Nakajima experiments

Schlosser, J., Mouchtar, S., Schneider, R., Schanz, J., Rimkus, W., Harrison, D., MacDonald, M. & Kulatunga, M., 30 Sep 2018, Advances in Manufacturing Technology XXXII. p. 399-404 6 p. (Advances in Transdisciplinary Engineering; vol. 8).

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

Open Access
File
High strength alloys
Aluminum alloys
Experiments
Aluminum sheet
Geometry

Comparative analysis of reliability models of a cable plant portraying summer and winter operating strategy

Taj, S. Z., Rizwan, S. M., Alkali, B. M., Harrison, D. K. & Taneja, G., 27 Dec 2018.

Research output: Contribution to conferencePaper

Open Access
File
Cables
Profitability
Markov processes