Bir Uçak Filosunun Pervane Ünitesinin Parametrik ve Parametrik Olmayan Güvenilirlik Analizi

Year 2024, Volume: 04 Issue: 01, 94 - 106, 31.07.2024

Mahmut Sami Şaşmaztürk , Abdulsamet Ertem , Selda Kapan Ulusoy

Abstract

Endüstriyel ekipmanların güvenli ve güvenilir çalışmasını sürdürmek için önleyici bakım yapılır. Önleyici bakımı planlamak veya mevcut bakım planını değerlendirmek için sistemin arıza davranışının modellenmesi gerekir. Onarılabilir bir sistemin arıza davranışı, sayma işlemleri kullanılarak modellenir. Bu çalışmada küçük bir uçak filosuna ait pervanelerin arıza davranışı modellenmiştir. Popülasyon ortalama kümülatif fonksiyonunun (MCF) ilk parametrik olmayan tahmini elde edilir. MCF, bakım verilerinin özel özelliklerinin keşfedilmesine yardımcı olur. Parametrik model seçimi, arızalar arasındaki sürenin trend analizinin sonucuna bağlıdır. Çalışmanın ikinci bölümünde pervane bakım verileri üzerinde trend analizi yapılmıştır. Trend analizine dayanarak iki olası parametrik model seçilir. Güvenilirlik ölçümleri her iki model kullanılarak tahmin edilir ve mevcut koruyucu bakım planını değerlendirmek için sonuçlar karşılaştırılır.

Keywords

repairable system reliability, MCF, counting process, reliability metrics

Parametric and Non-Parametric Reliability Analysis of The Propeller Unit of an Aircraft Fleet

Abstract

Preventive maintenance is performed to sustain the safe and reliable operation of industrial equipments. In order to plan preventive maintenance or evaluate the existing maintenance plan, the failure behavior of the system must be modeled. The failure behavior of a repairable system is modeled utilizing counting processes. In this study failure behavior of propellers belonging to a small aircraft fleet is modeled. First non-parametric estimate of population mean cumulative function (MCF) is obtained. MCF helps discovering the special features of the maintenance data. The parametric model selection depends on the result of the trend analysis of the time between failures. In the second part of the study trend analysis is performed on propeller maintenance data. Based on the trend analysis two prospect parametric models are selected. Reliability measures are estimated using both models and results are compared to evaluate the existing preventive maintenance plan.

Keywords

repairable system reliability, MCF, counting process, reliability metrics

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