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Abstract
Process Capability Indices (PCIs) provide a straightforward measure of how well the achieved process outcomes match the desired quality specifications. They serve as a valuable tool to a) assess whether contractual obligations have been met, b) compare the performance of various assets on-site, or c) monitor the change in the system's performance in time. In our work, we consider fatigue tests of a tidal turbine blade carried out at FastBlade, a dedicated research facility for regenerative testing of full-scale structures. We discuss the benefits of incorporating a PCI for performance monitoring purposes and decide on the index type best suited for evaluating the accuracy and consistency of exerted loads. We subsequently apply the measure to historical load data and integrate it directly into the control system of the fatigue test rig. The experimental results are used to determine the change in the consistency and accuracy of applied loads between the tests run at various stages of facility development and to find out how fidelity to the desired values in a fatigue test changes throughout its duration. The data findings are also used to determine the quality discrepancies between individual actuators. Finally, the wider implementation of PCIs in full-scale tests of tidal turbine blades is considered.
Original language | English |
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Title of host publication | Proceedings of the 20th International Conference on Condition Monitoring and Asset Management |
Publisher | British Institute of Non-Destructive Testing |
DOIs | |
Publication status | E-pub ahead of print - 25 Jul 2024 |
Event | 20th International Conference on Condition Monitoring and Asset Management - Milton Hill House, Oxford, United Kingdom Duration: 18 Jun 2024 → 20 Jun 2024 https://www.bindt.org/events-and-awards/cm-2024/ |
Conference
Conference | 20th International Conference on Condition Monitoring and Asset Management |
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Country/Territory | United Kingdom |
City | Oxford |
Period | 18/06/24 → 20/06/24 |
Internet address |
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TRAIN@Ed: Transnational Research and Innovation Network at Edinburgh
Gorjanc, G. (Principal Investigator), Bell, C. (Co-investigator), Duncan, A. (Co-investigator), Farrington, S. (Co-investigator), Florian, L. (Co-investigator), Forde, M. (Co-investigator), Hickey, J. (Co-investigator), Lacka, E. (Co-investigator), Ma, T. (Co-investigator), Mcneill, G. (Co-investigator), Medina-Lopez, E. (Co-investigator), Rosser, S. (Co-investigator), Rossi, R. (Co-investigator), Sabanis, S. (Co-investigator), Szpruch, L. (Co-investigator), Tenesa, A. (Co-investigator), Wake, D. (Co-investigator), Williamson, B. (Co-investigator) & Yang, Y. (Co-investigator)
EU government bodies, Non-EU industry, commerce and public corporations
1/11/19 → 19/04/23
Project: Research