Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning

Michael Kimollo, Xudong Liu

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024
EditorsM. Arif Wani, Plamen Angelov, Feng Luo, Mitsunori Ogihara, Xintao Wu, Radu-Emil Precup, Ramin Ramezani, Xiaowei Gu
Pages1759-1763
Number of pages5
ISBN (Electronic)9798350374889
DOIs
StatePublished - 2024
Event23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024 - Miami, United States
Duration: Dec 18 2024Dec 20 2024

Publication series

NameProceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024

Conference

Conference23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024
Country/TerritoryUnited States
CityMiami
Period12/18/2412/20/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Modeling and Simulation

Keywords

  • aircraft engine
  • cnn
  • lstm
  • machine learning
  • remaining usefullife
  • rul

Cite this