Failure prediction of aircraft equipment using machine learning with a hybrid data preparation method

K Celikmih, O Inan, H Uguz - Scientific Programming, 2020 - Wiley Online Library
There is a large amount of information and maintenance data in the aviation industry that
could be used to obtain meaningful results in forecasting future actions. This study aims to …

Prediction of Fatigue Crack Growth of Aluminium Alloy 7075T6 using Machine Learning Techniques

VP Renuka, S Sornalatha… - … Journal of Vehicle …, 2022 - search.proquest.com
As the fatigue cracks are initially invisible to the human eye, detecting them can be
complicated. Large scale disruption and risk are directly caused by these cracks if not …

[PDF][PDF] Predicting aircraft maintenance durations using automatic selection of statistical distributions and time series forecasting models

R Graasa, J Knuyta, M Zantmanb, RSF Patróna… - …, 2018 - researchgate.net
SMEs in the MRO industry are usually characterised by operations with relatively small, but
changing, production volumes and a large variety of products. This directly identifies the …