-
1
-
-
84893556071
-
A mixed time-/condition-based precognitive maintenance framework for zero-breakdown industrial systems
-
in press
-
C. K. Pang, J.-H. Zhou, and X. Wang, "A mixed time-/condition-based precognitive maintenance framework for zero-breakdown industrial systems," Control and Intelligent Systems., in press.
-
Control and Intelligent Systems
-
-
Pang, C.K.1
Zhou, H.J.2
Wang, X.3
-
2
-
-
82855182278
-
-
CRC Press
-
C. K. Pang, F. L. Lewis, T. H. Lee, and Z. Y. Dong, Intelligent diagnosis and prognosis of industrial networked systems, CRC Press, 2011.
-
(2011)
Intelligent Diagnosis and Prognosis of Industrial Networked Systems
-
-
Pang, C.K.1
Lewis, F.L.2
Lee, T.H.3
Dong, Z.Y.4
-
3
-
-
67650718722
-
A particle-filtering approach for on-Line fault diagnosis and failure prognosis
-
M. E. Orchard and G. J. Vachtsevanos, "A particle-filtering approach for on-Line fault diagnosis and failure prognosis," Transactions of the Institute of Measurement and Control, vol. 31, no. 3-4, pp. 221-246, 2009.
-
(2009)
Transactions of the Institute of Measurement and Control
, vol.31
, Issue.3-4
, pp. 221-246
-
-
Orchard, M.E.1
Vachtsevanos, G.J.2
-
5
-
-
0003345004
-
Improving regularised particle filters
-
C. Musso, N. Oudjane, and F. LeGland, "Improving regularised particle filters," Statistics for Engineering and Information Science, pp. 247-271, 2001.
-
(2001)
Statistics for Engineering and Information Science
, pp. 247-271
-
-
Musso, C.1
Oudjane, N.2
Legland, F.3
-
6
-
-
0036475447
-
A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking
-
M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
-
(2002)
IEEE Transactions on Signal Processing
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, M.S.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
7
-
-
78650831915
-
Particle filtering prognostic estimation of the Remaining useful life of nonlinear components
-
E. Zio and G. Peloni, "Particle filtering prognostic estimation of the Remaining useful life of nonlinear components," Reliability Engineering &System Safety, vol. 96, no. 3, pp. 403-409, 2011.
-
(2011)
Reliability Engineering &System Safety
, vol.96
, Issue.3
, pp. 403-409
-
-
Zio, E.1
Peloni, G.2
-
8
-
-
84855431793
-
Prediction of machine health condition using neuro-fuzzy and bayesian algorithms
-
C. Chen, B. Zhang, and G. Vachtsevanos, "Prediction of machine health condition using neuro-fuzzy and bayesian algorithms," IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 2, pp. 297-306, 2012.
-
(2012)
IEEE Transactions on Instrumentation and Measurement
, vol.61
, Issue.2
, pp. 297-306
-
-
Chen, C.1
Zhang, B.2
Vachtsevanos, G.3
-
9
-
-
38949096735
-
Practical filtering with sequential parameter learning
-
N. G. Polson, J. R. Stroud, and P. M̈uller, "Practical filtering with sequential parameter learning," Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 70, no. 2, pp. 413-428, 2008.
-
(2008)
Journal of the Royal Statistical Society: Series B (Statistical Methodology
, vol.70
, Issue.2
, pp. 413-428
-
-
Polson, N.G.1
Stroud, J.R.2
M̈uller, P.3
-
10
-
-
0036475891
-
Particle filters for state-space models with the presence of unknown static parameters
-
G. Storvik, "Particle filters for state-space models with the presence of unknown static parameters," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 281-289, 2002.
-
(2002)
IEEE Transactions on Signal Processing
, vol.50
, Issue.2
, pp. 281-289
-
-
Storvik, G.1
-
11
-
-
84857361309
-
Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance
-
J. Sun, H. Zuo, W. Wang, and M. G. Pecht, "Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance," Mechanical Systems and Signal Processing, vol. 28, pp. 585-596, 2011.
-
(2011)
Mechanical Systems and Signal Processing
, vol.28
, pp. 585-596
-
-
Sun, J.1
Zuo, H.2
Wang, W.3
Pecht, M.G.4
-
12
-
-
70449517374
-
Intelligent diagnosis and prognosis of tool wear using dominant feature identification
-
J.-H. Zhou, C. K. Pang, F. L. Lewis, and Z.-W. Zhong, "Intelligent diagnosis and prognosis of tool wear using dominant feature identification, " IEEE Transactions on Industrial Informatics, vol. 5, no. 4, pp. 454-464, 2009.
-
(2009)
IEEE Transactions on Industrial Informatics
, vol.5
, Issue.4
, pp. 454-464
-
-
Zhou, H.J.1
Pang, C.K.2
Lewis, F.L.3
Zhong, Z.-W.4
-
13
-
-
53149083021
-
Svm-based approximate model control for electronic throttle valve
-
X. Yuan, Y. Wang, and L. Wu, "Svm-based approximate model control for electronic throttle valve," IEEE Transactions on Vehicular Technology, vol. 57, no. 5, pp. 2747-2756, 2008.
-
(2008)
IEEE Transactions on Vehicular Technology
, vol.57
, Issue.5
, pp. 2747-2756
-
-
Yuan, X.1
Wang, Y.2
Wu, L.3
-
14
-
-
34249753618
-
Support-vector networks
-
C. Cortes, and V. Vapnik, "Support-vector networks," Machine learning, vol. 20, no. 3, pp. 273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
16
-
-
84862992824
-
Coupling pattern recognition with state estimation using kalman filter for fault diagnosis
-
O. Ondel, E. Boutleux, E. Blanco, and G. Clerc, "Coupling pattern recognition with state estimation using kalman filter for fault diagnosis," IEEE Transactions on Industrial Electronics, vol. 59, no. 11, pp. 4293-4300, 2012.
-
(2012)
IEEE Transactions on Industrial Electronics
, vol.59
, Issue.11
, pp. 4293-4300
-
-
Ondel, O.1
Boutleux, E.2
Blanco, E.3
Clerc, G.4
-
17
-
-
0002026334
-
Sequential monte carlo methods for optimal filtering
-
C. Andrieu, A. Doucet, and E. Punskaya, "Sequential monte carlo methods for optimal filtering," Statistics for Engineering and Information Science, pp. 79-95, 2001.
-
(2001)
Statistics for Engineering and Information Science
, pp. 79-95
-
-
Andrieu, C.1
Doucet, A.2
Punskaya, E.3
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