The DOI matches its Crossref record; 38 of the 40 references it cites were found in a registry or an index, and 1 are not checked yet.
Taxonomy of Gas Turbine Blade Defects
Open accessAbstract
Context—The maintenance of aero engines is intricate, time-consuming, costly and has significant functional and safety implications. Engine blades and vanes are the most rejected parts during engine maintenance. Consequently, there is an ongoing need for more effective and efficient inspection processes. Purpose—This paper defines engine blade defects, assigns root-causes, shows causal links and cascade effects and provides a taxonomy system. Approach—Defect types were identified from the literature and maintenance manuals, categorisations were devised and an ontology was created. Results—Defect was categorised into Surface Damage, Wear, Material Separation and Material Deformation. A second categorisation identified potential causes of Impact, Environmental causes, Operational causes, Poor maintenance, Poor manufacturing and Fatigue. These two categorisations were integrated with an ontology. Originality—The work provides a single comprehensive illustrated list of engine blade defects, and a standardised defect terminology, which currently does not exist in the aviation industry. It proposes a taxonomy for both engine blade defects and root-causes, and shows that these may be related using an ontology.
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“The most common edge defects are dents, nicks and tears.”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [15]
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Citations
Cites
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Cited by
Sorted by citations
Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models
Abdulrahman, Y., Eltoum, M. A. M., Ayyad, A., Moyo, B., & Zweiri, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3280992 · Cited by 74
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66
“Overview of edge defects and their characteristics (Taxonomy adapted from [15]).”
BackgroundSelf-citationBonu, V., & Barshilia, H. C. (2022) · Coatings · doi:10.3390/coatings12121979 · Cited by 62
Aust, J., & Pons, D. J. (2022) · Applied Sciences · doi:10.3390/app12042250 · Cited by 61
Self-citationGiorgi, M. G. D., Menga, N., & Ficarella, A. (2023) · Energies · doi:10.3390/en16062711 · Cited by 40
Metadata
- Authors
- Aust, J., & Pons, D.
- Affiliations
- University of Canterbury (NZ)
- Corresponding author
- Pons, Dirk
- Venue
- Aerospace
- Publisher
- MDPI AG
- Published
- 2019-05-21
- Volume
- 6
- Issue
- 5
- Pages
- 58
- ISSN
- 2226-4310 (ISSN-L)
- OpenAlex
- W2945187849
- Cited by
- 68
- References
- 40
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 5 · 2023: 17 · 2022: 8 · 2021: 10 · 2020: 1 · 2019: 2
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Aerospace (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UC Research Repository (University of Canterbury) (submittedVersion, cc-by)
- Funders
- Christchurch Engine Centre (2019)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Technical Engine Diagnostics and Monitoring
- Physical Sciences › Engineering › Mechanical Engineering › Mechanical Failure Analysis and Simulation
- Physical Sciences › Engineering › Control and Systems Engineering › Aerospace Engineering and Applications
- Keywords
- gas turbine blades, defect classification, root cause analysis, surface damage, wear, material separation, material deformation, fatigue (material), impact damage
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