Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method
Joint Authors
Celikmih, Kadir
Inan, Onur
Uguz, Harun
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 introduce machine learning models based on feature selection and data elimination to predict failures of aircraft systems.
Maintenance and failure data for aircraft equipment across a period of two years were collected, and nine input and one output variables were meticulously identified.
A hybrid data preparation model is proposed to improve the success of failure count prediction in two stages.
In the first stage, ReliefF, a feature selection method for attribute evaluation, is used to find the most effective and ineffective parameters.
In the second stage, a K-means algorithm is modified to eliminate noisy or inconsistent data.
Performance of the hybrid data preparation model on the maintenance dataset of the equipment is evaluated by Multilayer Perceptron (MLP) as Artificial Neural network (ANN), Support Vector Regression (SVR), and Linear Regression (LR) as machine learning algorithms.
Moreover, performance criteria such as the Correlation Coefficient (CC), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE) are used to evaluate the models.
The results indicate that the hybrid data preparation model is successful in predicting the failure count of the equipment.
American Psychological Association (APA)
Celikmih, Kadir& Inan, Onur& Uguz, Harun. 2020. Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method. Scientific Programming،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209138
Modern Language Association (MLA)
Celikmih, Kadir…[et al.]. Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method. Scientific Programming No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1209138
American Medical Association (AMA)
Celikmih, Kadir& Inan, Onur& Uguz, Harun. Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209138