Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters

Pogačnik, B.; Duhovnik, J.; Tavčar, J.

doi:10.17531/ein.2017.4.17

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Tytuł artykułu

Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters

Autorzy

Pogačnik B. , Duhovnik J. , Tavčar J.

Treść / Zawartość

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Identyfikatory

DOI

10.17531/ein.2017.4.17

Warianty tytułu

Prognozowanie uszkodzeń statków powietrznych dla celów obsługi konserwacyjnej na podstawie ich parametrów oraz danych z eksploatacji

Języki publikacji

Abstrakty

Aircraft maintenance and repair organizations (MROs) have to be competitive and attractive for both existing and new customers. The aircraft ground time at MROs should be as short as possible and cost effective without reducing the quality of the work. Process optimization in MROs requires the continuous improvement of processes and the elimination of non-value-added activities during maintenance checks. There is, on the one hand, an obligation to follow the prescribed procedures and, on the other hand, pressure for time and cost reduction. The aircraft servicing process has been analysed according to a lean methodology. The optimization of logistics processes is recognized as the most promising method for reducing the maintenance service time and costs of spare parts. The probability of aircraft faults is calculated on the basis of historic data from previously completed service projects. Aircraft parameters, such as aircraft type, operator, aircraft age, flight hours, flight cycles, engine type and operation location, are taken into consideration in the fault forecasting. The fault probability is used as an indicator for defining a priority list for the accomplishment of jobs included in the aircraft maintenance service. The proposed methodology was validated and confirmed on four different projects.

Organizacje zajmujące się konserwacją i naprawami statków powietrznych (MRO) muszą dbać o swoją konkurencyjność i atrakcyjność zarówno dla istniejących jak i nowych klientów. Czas trwania obsługi naziemnej w MRO powinien być jak najkrótszy a konserwacja powinna pociągać za sobą jak najmniejsze koszty, bez konieczności obniżania jakości pracy. Optymalizacja procesów przeprowadzanych w MRO wymaga ciągłego doskonalenia oraz eliminacji nieuzasadnionych czynności przeglądowych. Z jednej strony pracownicy MRO muszą przestrzegać określonych procedur, z drugiej zaś strony, ciąży na nich presja redukcji czasu i kosztów obsługi. Proces obsługi statku powietrznego analizowano zgodnie z metodologią szczupłego utrzymania ruchu. Optymalizację procesów logistycznych uznaje się za najbardziej obiecujący sposób redukcji czasu obsługi serwisowej oraz kosztów części zamiennych. Prawdopodobieństwo wystąpienia uszkodzeń statku powietrznego obliczano na podstawie danych historycznych z uprzednio przeprowadzonych prac obsługowych. W prognozowaniu uszkodzeń, uwzględniano takie parametry statku powietrznego, jak typ statku, jego operator, wiek, liczba godzin w powietrzu, liczba cykli lotów, typ silnika oraz miejsce stacjonowania. Prawdopodobieństwo wystąpienia uszkodzeń wykorzystano jako wskaźnik do hierarchizacji zadań obsługi technicznej statku powietrznego. Przydatność proponowanej metodologii zweryfikowano i potwierdzono na przykładzie czterech różnych projektów.

Słowa kluczowe

aircraft maintenance fault forecasting lean methods machine learning spare-parts logistics

konserwacja statków powietrznych prognozowanie uszkodzeń metody szczupłego utrzymania ruchu systemy uczące się logistyka części zamiennych

Wydawca

Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne

Czasopismo

Eksploatacja i Niezawodność

Rocznik

2017

Tom

Vol. 19, no. 4

Strony

624--633

Opis fizyczny

Bibliogr. 45 poz., rys., tab.

Twórcy

autor

Pogačnik B.

Borut.Pogacnik@aateh.si

Adria Airways Tehnika Zg. Brnik 130h Si-4210 Brnik, Slovenia

autor

Duhovnik J.

Joze.Duhovnik@lecad.fs.uni-lj.si

University of Ljubljana Faculty of Mechanical Engineering Aškerčeva 6 Si-1000 Ljubljana, Slovenia

autor

Tavčar J.

Joze.Tavcar@lecad.fs.uni-lj.si

University of Ljubljana Faculty of Mechanical Engineering Aškerčeva 6 Si-1000 Ljubljana, Slovenia

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Identyfikator YADDA

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