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The Scientific World Journal
Volume 2014, Article ID 727359, 7 pages
Research Article

Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure

1Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
2Aviation Technical Division, Aviation Safety Technology Center, 557 Yongyu-ro, Jung-gu, Incheon 400-420, Republic of Korea
3Department of Aerospace, Automobile & Mechanical Engineering, Chung Cheong University, 38 Wolgok-Gil, Gangnae-Myeon, Cheongwon-Gun, Chungcheongbuk-Do 363-792, Republic of Korea

Received 4 April 2014; Accepted 10 June 2014; Published 26 June 2014

Academic Editor: T. O. Ting

Copyright © 2014 Sanghyuk Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Alireza Abbaspour, Michael Sanchez, Arman Sargolzaei, Kang Yen, and Nalat Sornkhampan, “Adaptive Neural Network Based Fault Detection Design for Unmanned Quadrotor under Faults and Cyber Attacks,” 2017 25th International Conference on Systems Engineering (ICSEng), pp. 77–84, . View at Publisher · View at Google Scholar
  • Zhongke Shi, “Challenge of control theory in the presence of high performance aircraft development,” Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, vol. 36, no. 8, pp. 2717–2734, 2015. View at Publisher · View at Google Scholar
  • Zhenyu Wu, Yang Guo, Wenfang Lin, Shuyang Yu, and Yang Ji, “A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems,” Sensors, vol. 18, no. 4, pp. 1096, 2018. View at Publisher · View at Google Scholar
  • Zhenyu Wu, Wenfang Lin, and Yang Ji, “An Integrated Ensemble Learning Model for Imbalanced Fault Diagnostics and Prognostics,” IEEE Access, vol. 6, pp. 8394–8402, 2018. View at Publisher · View at Google Scholar