Online Remote Condition Monitoring using statistical analysis based on a small number of experimental results using AE and vibration analysis.
Funder: TWIDuration: October 2014 - September 2017
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Keming Yu Professor (Principal investigator)
T: +44 (0)1895 266128
E: keming.yu@brunel.ac.uk |
+44 (0)1895 266128 | keming.yu@brunel.ac.uk | Tower A 025 |
Outputs
Yu, K. (2017) 'Challenges in the application of DCVG-survey to predict coating defect size on pipelines'. Materials and Corrosion, 68 (3). pp. 329 - 337. ISSN: 0947-5117 Open Access Link