Distributed prognostic health management with Gaussian process regression

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2010, Pages

  Saha, Sankalita ^a   Saha, Bhaskar ^a   Saxena, Abhinav ^b   Goebel, Kai ^c  

^a MCT/NASA ARC   (United States)

^b SGT INC   (United States)

^c NASA HEADQUARTERS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURE DESIGNS; COMMUNICATION PATTERN; DISTRIBUTED IMPLEMENTATION; EFFICIENT IMPLEMENTATION; GAUSSIAN PROCESS REGRESSION; HEALTH MANAGEMENT SYSTEMS; PARTICLE FILTER; PROGNOSTIC APPROACH; PROGNOSTIC HEALTH MANAGEMENTS;

ALGORITHMS;

EID: 77952791421     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2010.5446841     Document Type: Conference Paper

References (10)

1. M. Roemer, C. Byington, G. Kacprzynski and G. Vachtsevanos, "An Overview of Selected Prognostic Technologies with Reference to an Integrated PHM Architecture", In Proc. of the First Intl. Forum on Integrated System Health Engineering and Management in Aerospace, 2005.
2. J. Schmalzel, F. Figueroa, J. Morris, S. Mandayam and R. Polikar, "An Architecture for Intelligent Systems Based on Smart Sensors", IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 4, Aug. 2005, pp. 1612-1616.
3. M. Prokopenko, P. Wang, D. C. Price, P. Valencia, M. Foreman, A. J. Farmer, "Self-organizing Hierarchies in Sensor and Communication Networks". Artificial Life, Special Issue on Dynamic Hierarchies, Vol. 11(4), 407-426, 2005. (Pubitemid 41430935)
4. K. Goebel, B. Saha, A. Saxena, J. Celaya, J. Christophersen, "Prognostics in Battery Health Management", In IEEE Instrumentation and Measurement Magazine, 2008, Vol. 1(4), pp. 33-40.
5. S. Saha, B. Saha and K. Goebel. "Distributed Prognostics Using Wireless Embedded Devices". In IEEE International Conference on Prognostics and Health Management, Denver, CO, USA, October 2008.
6. S. Saha, B. Saha and K. Goebel. "Communication Optimizations for a Wireless Distributed Prognostic Framework". Proceedings of IEEE Aerospace Conference, 2009, Big Sky, MT.
7. V. Tresp, "A Bayesian Committee Machine", Neural Computation archive, Vol.12, Issue 11, Nov. 2000, pp.: 2719-2741.
8. A. Choudhury, P. B. Nair, and A. J. Keane, "A data parallel approach for large-scale Gaussian process modeling," Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002.
9. B. Saha, S. Saha, K. Goebel, "A Distributed Prognostic Health Management Architecture", In Proceedings of MFPT, 2009.
10. C. E. Rasmussen, and C. K. I. Williams, "Gaussian Processes for Machine Learning," The MIT Press Cambridge MA, 2006.