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Journals / Politeknik Dergisi / 2026 / Cilt: 29 Sayı: 4

Examining Predictive Maintenance Studies in the Aviation Industry with Systematic Mapping Method

Havacılık Sektöründe Kestirimci Bakım Çalışmalarının Sistematik Haritalandırma Metodu ile İncelenmesi

Barış Soyal(GAZI UNIVERSITY)0000-0002-7910-6478
Cevriye Temel Gencer(GAZİ ÜNİVERSİTESİ)0000-0002-3373-8306
Pages
1–9
Publication Date
2026-06-09
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate that predictive maintenance studies have gained significant momentum in recent years, focusing particularly on aircraft engines.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study is a systematic mapping study conducted to evaluate data analysis studies conducted in the aviation sector in the field of predictive maintenance, examine the types of data used and the equipment subject to predictive maintenance, and identify key trends and gaps in the literature.
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Key Findings & Data:The study examined studies published between 2013 and 2025 in the Web of Science and Scopus databases.
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Conclusion & Impact:The results indicate that predictive maintenance studies have gained significant momentum in recent years, focusing particularly on aircraft engines.
🔬Design:Derleme
📍Scope:2013 Verileri
⚙️Variables:Kestirimci Bakım · Bakım Kayıtları · Sistematik Haritalandırma

Abstract

This study is a systematic mapping study conducted to evaluate data analysis studies conducted in the aviation sector in the field of predictive maintenance, examine the types of data used and the equipment subject to predictive maintenance, and identify key trends and gaps in the literature. The study examined studies published between 2013 and 2025 in the Web of Science and Scopus databases. The analysis findings aimed to identify the countries with the most research in this field, the types of data used, and the equipment on which predictive maintenance is applied. The results indicate that predictive maintenance studies have gained significant momentum in recent years, focusing particularly on aircraft engines. The mapping study found that the majority of data analysis studies, at 61%, were conducted on engines. It was determined that United States, United Kingdom, and China, which also have aircraft engine production capabilities, made the largest contributions to predictive maintenance studies. Generally, the three main data acquisition methods are maintenance records, sensor data, and simulation data. The scarcity of maintenance records and predictive maintenance studies, which reflect real operating conditions and are relatively easy to obtain, has attracted attention and is considered a gap in the literature.

Özet

Bu çalışma, havacılık sektöründe kestirimci bakım alanında yürütülen veri analizi çalışmalarını değerlendirmek, kullanılan veri türleri ve kestirimci bakıma konu olan ekipmanları incelemek, literatürdeki ana eğilimleri ve boşlukları tespit etmek amacıyla yapılmış bir sistematik haritalandırma çalışmasıdır. Çalışma kapsamında Web of Science ve Scopus veri tabanlarında 2013-2025 yılları arasında yayımlanmış havacılık sektöründeki kestirimci bakım uygulama çalışmaları incelenmiştir. Analiz bulguları bu alanda en çok çalışma yapan ülkeleri, kullanılan veri türlerini ve kestirimci bakım uygulaması yapılan ekipmanları belirlemeye yöneliktir. Sonuçlar, kestirimci bakım çalışmalarının son yıllarda büyük ivme yakaladığını ve özellikle uçak motoru üzerine yoğunlaştığını göstermektedir. Yapılan haritalandırma çalışmasında %61 ile en çok motor üzerine veri analizi çalışmaları yapıldığı saptanmıştır. Kestirimci bakım çalışmalarında en çok katkının, uçak motoru üretim kabiliyeti olan Amerika, İngiltere ve Çin tarafından gerçekleştiği saptanmıştır. Kullanılan veri türleri ise, bakım kayıtları, sensör verisi ve simülasyon verisi olarak sıralanmaktadır. Gerçek operasyon koşullarını yansıtan ve elde edilmesi görece kolay olan bakım kayıtları ile kestirimci bakım çalışmalarının sayısal olarak azlığı dikkat çekmiş ve literatürdeki boşluk olarak değerlendirilmiştir.

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Cite This Article

Soyal, B., Gencer, C. T. (2026). Examining Predictive Maintenance Studies in the Aviation Industry with Systematic Mapping Method. Politeknik Dergisi, Cilt: 29 Sayı: 4, 1–9. https://doi.org/10.2339/politeknik.1828539

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