Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.15462 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909618714705920 |
|---|---|
| author | Kuchař, Michal Fišer, Jaromír Oswald, Cyril Vyhlídal, Tomáš |
| author_facet | Kuchař, Michal Fišer, Jaromír Oswald, Cyril Vyhlídal, Tomáš |
| contents | The paper presents a decision support system for the long-term preservation of aeronautical heritage exhibited/stored in sheltered sites. The aeronautical heritage is characterized by diverse materials of which this heritage is constituted. Heritage aircraft are made of ancient aluminum alloys, (ply)wood, and particularly fabrics. The decision support system (DSS) designed, starting from a conceptual model, is knowledge-based on degradation/corrosion mechanisms of prevailing materials of aeronautical heritage. In the case of historical aircraft wooden parts, this knowledge base is filled in by the damage function models developed within former European projects. Model-based corrosion prediction is implemented within the new DSS for ancient aluminum alloys. The novelty of this DSS consists of supporting multi-material heritage protection and tailoring to peculiarities of aircraft exhibition/storage hangars and the needs of aviation museums. The novel DSS is tested on WWII aircraft heritage exhibited in the Aviation Museum Kbely, Military History Institute Prague, Czech Republic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15462 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI-based Decision Support System for Heritage Aircraft Corrosion Prevention Kuchař, Michal Fišer, Jaromír Oswald, Cyril Vyhlídal, Tomáš Systems and Control Machine Learning 62C25 H.4.2; I.6.5 The paper presents a decision support system for the long-term preservation of aeronautical heritage exhibited/stored in sheltered sites. The aeronautical heritage is characterized by diverse materials of which this heritage is constituted. Heritage aircraft are made of ancient aluminum alloys, (ply)wood, and particularly fabrics. The decision support system (DSS) designed, starting from a conceptual model, is knowledge-based on degradation/corrosion mechanisms of prevailing materials of aeronautical heritage. In the case of historical aircraft wooden parts, this knowledge base is filled in by the damage function models developed within former European projects. Model-based corrosion prediction is implemented within the new DSS for ancient aluminum alloys. The novelty of this DSS consists of supporting multi-material heritage protection and tailoring to peculiarities of aircraft exhibition/storage hangars and the needs of aviation museums. The novel DSS is tested on WWII aircraft heritage exhibited in the Aviation Museum Kbely, Military History Institute Prague, Czech Republic. |
| title | AI-based Decision Support System for Heritage Aircraft Corrosion Prevention |
| topic | Systems and Control Machine Learning 62C25 H.4.2; I.6.5 |
| url | https://arxiv.org/abs/2505.15462 |