Time Series Prediction From Commercial Aircraft Acceleration Sensor Data with Deep Neural Networks: A Benchmark Study

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Düdükçü H. V., Taşkıran M.

Academic Studies in Engineering, Prof. Dr. Çoşkun Özalp;,Doç. Dr. Savaş Bayram;,Doç. Dr. Mahmut Kayar, Editör, Gece Kitaplığı, Ankara, ss.33-46, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Gece Kitaplığı
  • Basıldığı Şehir: Ankara
  • Sayfa Sayıları: ss.33-46
  • Editörler: Prof. Dr. Çoşkun Özalp;,Doç. Dr. Savaş Bayram;,Doç. Dr. Mahmut Kayar, Editör
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Within the scope of this study, sensor data prediction was performed with the body longitudinal acceleration data of the flight sensor data set published by NASA for Flight Operations Quality Assurance (FOQA) studies. For this purpose, the sensor data of five different models using three different deep learning architectures were compared for the prospective estimation and the results were shared with the researchers