Analyzing Aircraft Maintenance Findings with Natural Language Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00362129" target="_blank" >RIV/68407700:21260/22:00362129 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trpro.2022.11.028" target="_blank" >https://doi.org/10.1016/j.trpro.2022.11.028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2022.11.028" target="_blank" >10.1016/j.trpro.2022.11.028</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing Aircraft Maintenance Findings with Natural Language Processing

Popis výsledku v původním jazyce

Aircraft maintenance at the technical base includes both scheduled and unscheduled repairs. When performing repairs, there are detailed inspections of aircraft, which are ordered in advance by the customer. During these inspections, it is possible to detect other unsatisfactory condition of the aircraft in terms of continuing airworthiness, which needs to be corrected. These unplanned failures are findings and are entered into the maintenance organization's system, which is required to keep records of activities performed on the aircraft. Finding descriptions are created by technicians and are usually stored as unstructured text that does not allow subsequent analysis with a database of such records. The presented work performs automatic text analysis of findings using a dedicated software tool. For the purpose of the analysis, a lexicon was created, with components and failures appearing in maintenance records. The lexicon was used in automatic text analysis, where the output was a statistic of the most frequent components and failures in the stored maintenance data. This statistic can be used for maintenance planning optimization and better prediction of unscheduled repairs.

Název v anglickém jazyce

Analyzing Aircraft Maintenance Findings with Natural Language Processing

Popis výsledku anglicky

Aircraft maintenance at the technical base includes both scheduled and unscheduled repairs. When performing repairs, there are detailed inspections of aircraft, which are ordered in advance by the customer. During these inspections, it is possible to detect other unsatisfactory condition of the aircraft in terms of continuing airworthiness, which needs to be corrected. These unplanned failures are findings and are entered into the maintenance organization's system, which is required to keep records of activities performed on the aircraft. Finding descriptions are created by technicians and are usually stored as unstructured text that does not allow subsequent analysis with a database of such records. The presented work performs automatic text analysis of findings using a dedicated software tool. For the purpose of the analysis, a lexicon was created, with components and failures appearing in maintenance records. The lexicon was used in automatic text analysis, where the output was a statistic of the most frequent components and failures in the stored maintenance data. This statistic can be used for maintenance planning optimization and better prediction of unscheduled repairs.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20304 - Aerospace engineering

Projekt

<a href="/cs/project/CK01000204" target="_blank" >CK01000204: Zvýšení efektivity plánování a provádění údržby dopravních letadel</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Transportation Research Procedia

ISBN

—

ISSN

2352-1457

e-ISSN

2352-1465

Počet stran výsledku

8

Strana od-do

238-245

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Bratislava

Datum konání akce

9. 11. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—