Corrosion prediction for preventive protection of aircraft heritage
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00374364" target="_blank" >RIV/68407700:21220/24:00374364 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1186/s40494-024-01212-6" target="_blank" >https://doi.org/10.1186/s40494-024-01212-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s40494-024-01212-6" target="_blank" >10.1186/s40494-024-01212-6</a>
Alternative languages
Result language
angličtina
Original language name
Corrosion prediction for preventive protection of aircraft heritage
Original language description
The paper presents a study on corrosion prediction for preventive aeronautical heritage protection, considering the aeronautical heritage stored or exhibited in an aviation museum. For the purpose of the study, the hangar with exhibited historical aircraft of significant cultural and societal value is located in the Aviation Museum Kbely, Prague, Czech Republic. Until now, such a preventive approach to protecting the aircraft heritage constituted from ancient aluminum alloys, in particular, has not been presented rigorously. Monitoring the hangar meteorological, pollution, and environmental data are acquired and interrelated with measured corrosion data to find a statistical model describing atmospheric corrosion in the hangar environment. The statistical model searched represents a Gaussian process based on a likelihood approach. As a result, the Gaussian process model is regressed to predict the corrosion of aluminum alloy-based artifacts in the monitored hangar with the marginal likelihood that is compared to machine learning-based prediction. Finally, it is shown that atmospheric corrosion is accurately predicted only when, among others, a synergistic effect of airborne pollutants and wind speed is considered.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Heritage Science
ISSN
2050-7445
e-ISSN
2050-7445
Volume of the periodical
12
Issue of the periodical within the volume
March
Country of publishing house
GB - UNITED KINGDOM
Number of pages
22
Pages from-to
—
UT code for WoS article
001195008700001
EID of the result in the Scopus database
2-s2.0-85188903140