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Health Assessment of Liquid Cooling System in Aircrafts: Data Visualization, Reduction, Clustering, and Classification

Journal Article
2012-01-2106
ISSN: 1946-3855, e-ISSN: 1946-3901
Published October 22, 2012 by SAE International in United States
Health Assessment of Liquid Cooling System in Aircrafts: Data Visualization, Reduction, Clustering, and Classification
Sector:
Citation: Najjar, N., Sankavaram, C., Hare, J., Gupta, S. et al., "Health Assessment of Liquid Cooling System in Aircrafts: Data Visualization, Reduction, Clustering, and Classification," SAE Int. J. Aerosp. 5(1):119-127, 2012, https://doi.org/10.4271/2012-01-2106.
Language: English

References

  1. Bishop, C. M. Pattern Recognition and Machine Learning New York, Ny Springer Science + Business Media, LLC 2006
  2. Duda, R. O. Hart, P. E. Stork, D. G. Pattern Classification Second New York, NY Wiley-Interscience Publication 2001
  3. Zhu, X. Ghahramani, Z. Lafferty, J. “Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions,” Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) Washington DC 2003
  4. Uluyol, O. Menon, S. K. Nwadiogbu, E. O. Kim, K. “Transient Fault Detection System and Method” US Patent 7043348 B2 9 May 2006
  5. Mylaraswamy, D. Nwadiogbu, E. O. Vhora, M. H. Y. “Clustering System and Method For Blade Erosion Detection” US Patent 7254491 B2 7 Aug. 2007
  6. Bushan, B. Jose, R. A. “Self-Organizing Self Clustering Network: A Strategy for Unsupervised Pattern Classification with its Application to Fault Diagnosis.,” Industrial & Engineering Chemistry Research 47 12 4209 4219 2008
  7. Lin, C.-H. Wu, C.-H. Huang, P.-Z. “Grey Clustering Analysis for Incipient Fault Diagnosis in Oil-immersed Transformers,” Expert Systems with Applications 36 2 1371 1379 March 2009
  8. Yu, J. “A Hybrid Feature Selection Scheme and Self-Organizing Map Model for Machine Health Assessment,” Applied Soft Computing 11 5 4011 4054 July 2011
  9. Lei, Y. He, Z. Zi, Y. Chen, X. “New Clustering Algorithm-Based Fault Diagnosis using Compensation Distance Evaluation Technique,” Mechanical Systems and Signal Processing 22 2 419 435 February 2008
  10. Yang, B. Han, J. A. “ART-KOHONEN Neural Network for Fault Diagnosis of Rotating Machinery,” Mechanical Systems and Signal Processing 18 3 645 657 May 2004
  11. He, Q. Wang, J. “Fault Detection Using the k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes,” Semiconductor Manufacturing, IEEE Transactions on 20 4 345 354 Nov. 2007
  12. Ochoa, A. Hernandez, A. Urena, J. Mazo, M. Jimenez, J. Garcia, J. Jimenez, A. “Ultrasonic pattern recognition based on ANN and PCA techniques,” Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on 2005
  13. Zanoli, S. Astolfi, G. Barboni, L. “FDI of process faults based on PCA and cluster analysis,” Control and Fault-Tolerant Systems (SysTol), 2010 Conference on 2010
  14. Marquez, F. P. G. “An Approach to Remote Condition Monitoring Systems Management,” Railway Condition Monitoring, 2006. The Institution of Engineering and Technology International Conference on 2006
  15. Tolani, D. Yasar, M. Shin, C. Ray, A. “Anomaly detection for health management of aircraft gas turbine engines,” American Control Conference, 2005. Proceedings of the 2005 2005
  16. Brugger, D. Bogdan, M. Rosenstiel, W. “Automatic Cluster Detection in Kohonen's SOM,” Neural Networks 19 3 442 459 2008
  17. Goharrizi, A. Sepehri, N. “A Wavelet-Based Approach for External Leakage Detection and Isolation From Internal Leakage in Valve-Controlled Hydraulic Actuators,” Industrial Electronics 58 9 4374 4384 2011
  18. Liao, W. Si, J. Gu, Y. “Fault Diagnosis for turbine generator based on wavelet packet PCA-SVM,” Future Computer and Communication (ICFCC), 2010 2nd International Conference on 2010
  19. Belkin, M. Nyogi, P. “Semi-Supervised Learning on Riemannian,” Machine Learning 56 209 239 2004
  20. Gupta, S. Ray, A. Symbolic Dynamic Filtering for Data-Driven Pattern Recognition Zoeller, E. A. Hauppage, NY Nova Science Publishers 2008 17 71
  21. Cover, T. M. Thomas, J. A. Elements of Information Theory Second Hoboken, New Jersey Wiley & Sons, Inc 2006
  22. Parsons, S. Introduction to Machine Learning 3 Cambridge University Press 2010

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