1 |
Doucet, N. de Freitas, and N. Gordon, 'An introduction to Sequential Monte Carlo methods,' in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer-Verlag, 2001
|
2 |
R. Patrick, A Model Based Frameworkfor Fault Diagnosis and Prognosis of Dynamical Systems with an Application to Helicopter Transmissions, Ph.D. Thesis, Department of Electrical and Computer Engineering, Georgia institute of Technology, 2007
|
3 |
M. Orchard, A Particle Filtering-based Frameworkfor Online Fault Diagnosis and Failure Prognosis, Ph.D. Thesis, Department of Electrical and Computer Engineering, Georgia institute of Technology, 2007
|
4 |
A. Ray, and S. Tangirala, 'Stochastic Modeling of Fatigue Crack Dynamics for On-Line Failure Prognosis,' IEEE Transactions on Control Systems Technology, vol. 4, no. 4, pp. 443 - 451, 1996
DOI
ScienceOn
|
5 |
A. Doucet, S. Godsill, and C. Andrieu, 'On Sequential Monte Carlo sampling methods for Bayesian filtering,' Statistics and Computing, vol. 10, no 3, pp. 197-208, July 2000
DOI
|
6 |
P. Li, and V. Kadirkamanathan, 'Particle Filtering Based Likelihood Ratio Approach to Fault Diagnosis in Nonlinear Stochastic Systems,' IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, vol. 31, no. 3, 2001
|
7 |
V. Verma, G. Gordon, R. Simmons, and S. Thrun, 'Particle Filters for Rover Fault Diagnosis,' IEEE Robotics & Automation Magazine, pp. 56 - 64, June 2004
|
8 |
N. de Freitas, 'Rao-Blackwellised Particle Filtering for Fault Diagnosis,' IEEE Aerospace Conference Proceedings (Cat. No. 02TH8593), pt. 4, pp. 1767 - 1772, 2002
|
9 |
V. Kadirkamanathan, P. Li, M. H. Jaward, and S. G. Fabri, 'Particle filtering-based fault detection in non-linear stochastic systems,' International Journal of Systems Science, vol. 33, no. 4, pp. 259 - 265, 2002
DOI
ScienceOn
|
10 |
C. Andrieu, A. Doucet, and E. Punskaya, 'Sequential Monte Carlo Methods for Optimal Filtering,' in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer-Verlag, 2001
|
11 |
X. Koutsoukos, J. Kurien, and F. Zhao, 'Monitoring and Diagnosis of Hybrid Systems Using Particle Filtering Models,' International Symposium on Mathematical Theory of Networks and Systems, 2002
|
12 |
M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, 'A Tutorial on Particle Filters for Online Nonlinear/NonGaussian Bayesian Tracking,' IEEE Transactions on Signal Processing, vol. 50, no. 2, February 2002
|
13 |
A. J. Haug, 'A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and NonGaussian Processes,' MITRE Technical Report. MTR 05W0000004, The MITRE Corporation, 2005
|