Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method
المؤلفون المشاركون
Celikmih, Kadir
Inan, Onur
Uguz, Harun
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-28
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1209138
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر