Recurrent neural networks for remaining useful life estimation

2008 International Conference on Prognostics and Health Management, PHM 2008

Volumn , Issue , 2008, Pages

  Heimes, Felix O ^a,b  

^a BAE SYSTEMS   (United Kingdom)

^b BAE SYSTEMS   (United States)

Author keywords

Machine learning; Prognostics; Recurrent neural networks; Remaining useful life

Indexed keywords

CELLULAR RADIO SYSTEMS; CONTROL THEORY; EVOLUTIONARY ALGORITHMS; HEALTH; LEARNING SYSTEMS; NEURAL NETWORKS; REINFORCEMENT LEARNING; ROBOT LEARNING;

BACK PROPAGATION (BP); CHALLENGE PROBLEM; LIFE ESTIMATION; MACHINE LEARNING; PROGNOSTICS; REMAINING USEFUL LIFE;

RECURRENT NEURAL NETWORKS;

EID: 58449086756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2008.4711422     Document Type: Conference Paper

References (5)

1. S. Singhal and L. Wu, "Training multilayer perceptrons with the extended Kalman algorithm," in Advances in Neural Information Processing Systems 1, Denver 1988, D. S. Toretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1989, pp. 130-140.
2. G. V. Puskorius and L. A. feldkamp, "Decoupled extended Kalman filter training of feedforward layered networks," in International Joint Conference on Neural Networks, Seattle 1991, vol. I, pp. 771-777.
3. R. J. Williams, "Adaptive state representation and estimation using recurrent connectionist networks," in Neural Networks for Control, W. T. Miller III, R. S. Sutton, and P. J. Werbos, Eds. Cambridge, MA: MIT Press, 1990 char 4. pp. 97-114.
4. L. A. Feldkamp and G. V. Puskorius, "A Signal Processing Framework Based on Dynamic Neural Networks with Application to Problems in Adaptation, Filtering, and Classification," in Proceedings of the IEEE, vol. 86, No 11, November 1998.
5. R. Storn, "On the Usage of Differential Evolution for Function Optimization", in Biennial Conference of the North American Fuzzy Information Processing Society, 1996, pp. 519-523.