-
1
-
-
0030106093
-
Applications of maintenance optimization models: A review and analysis
-
DOI 10.1016/0951-8320(95)00076-3
-
R. Dekker, "Applications of maintenance optimization models: a review and analysis," Reliability Engineering and System Safety, vol. 51, pp. 229-240, 1996. (Pubitemid 126349477)
-
(1996)
Reliability Engineering and System Safety
, vol.51
, Issue.3
, pp. 229-240
-
-
Dekker, R.1
-
2
-
-
51449109011
-
Model-based prognostic techniques applied to a suspension system
-
J. Luo, K.R. Pattipati, L. Qiao, and S. Chigusa, "Model-based prognostic techniques applied to a suspension system," IEEE Transactions on Systems, Man and Cybernetics, Part A, vol. 38, pp. 1156-1168, 2008.
-
(2008)
IEEE Transactions on Systems, Man and Cybernetics, Part A
, vol.38
, pp. 1156-1168
-
-
Luo, J.1
Pattipati, K.R.2
Qiao, L.3
Chigusa, S.4
-
3
-
-
57749091877
-
Prognostic degradation models for computing and updating residual life distributions in a time-varying environment
-
N. Gebraeel, and J. Pan, "Prognostic degradation models for computing and updating residual life distributions in a time-varying environment," IEEE Transactions on Reliability, vol. 57, pp. 539-550, 2008.
-
(2008)
IEEE Transactions on Reliability
, vol.57
, pp. 539-550
-
-
Gebraeel, N.1
Pan, J.2
-
4
-
-
63149182784
-
Residual life predictions in the absence of prior degradation knowledge
-
N. Gebraeel, A. Elwany, and J. Pan, "Residual life predictions in the absence of prior degradation knowledge," IEEE Transactions on Reliability, vol. 58, pp. 106-117.
-
IEEE Transactions on Reliability
, vol.58
, pp. 106-117
-
-
Gebraeel, N.1
Elwany, A.2
Pan, J.3
-
6
-
-
58449112801
-
A similarity-based prognostics approach for remaining useful life estimation of engineered systems
-
T. Wang, J. Yu, D. Siegel, and J. Lee, "A similarity-based prognostics approach for remaining useful life estimation of engineered systems," IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008.
-
IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008
-
-
Wang, T.1
Yu, J.2
Siegel, D.3
Lee, J.4
-
7
-
-
70349470960
-
A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear power plant
-
E. Zio, and F. Di Maio, "A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear power plant," Reliability Engineering and System Safety, vol. 95, pp.49-57, 2010.
-
(2010)
Reliability Engineering and System Safety
, vol.95
, pp. 49-57
-
-
Zio, E.1
Di Maio, F.2
-
8
-
-
58449136375
-
Prognostic algorithm categorization with PHM challenge application
-
J. B. Coble, and J. W. Hines, "Prognostic algorithm categorization with PHM challenge application," IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008.
-
IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008
-
-
Coble, J.B.1
Hines, J.W.2
-
9
-
-
58449086756
-
Recurrent neural networks for remaining useful life estimation
-
F. O. Heimes, "Recurrent neural networks for remaining useful life estimation," IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008.
-
IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008
-
-
Heimes, F.O.1
-
10
-
-
0348043110
-
Electrochemical cell diagnostics using online impedance measurement, state estimation and data fusion techniques
-
J. D. Kozlowski, M. J. Watson, C. S. Byington, A. K. Garga, and T. A. Hay, "Electrochemical cell diagnostics using online impedance measurement, state estimation and data fusion techniques," Proceedings of 36th Intersociety Energy Conversion Engineering Conference, Savannah, Georgia, 2001.
-
Proceedings of 36th Intersociety Energy Conversion Engineering Conference, Savannah, Georgia, 2001
-
-
Kozlowski, J.D.1
Watson, M.J.2
Byington, C.S.3
Garga, A.K.4
Hay, T.A.5
-
11
-
-
34047239121
-
Fusing Competing Prediction Algorithms for Prognostics
-
K. Goebel, N. Eklund, and P. Bonanni, "Fusing Competing Prediction Algorithms for Prognostics," Proceedings of 2006 IEEE Aerospace Conference, New York, 2006.
-
Proceedings of 2006 IEEE Aerospace Conference, New York, 2006
-
-
Goebel, K.1
Eklund, N.2
Bonanni, P.3
-
12
-
-
60149085988
-
Prognostics methods for battery health monitoring using a Bayesian framework
-
B. Saha, K. Goebel, S. Poll, and J. Christophersen, "Prognostics methods for battery health monitoring using a Bayesian framework," IEEE Transaction on Instrumentation and Measurement, vol. 58, pp. 291-296, 2009.
-
(2009)
IEEE Transaction on Instrumentation and Measurement
, vol.58
, pp. 291-296
-
-
Saha, B.1
Goebel, K.2
Poll, S.3
Christophersen, J.4
-
13
-
-
0000926506
-
When networks disagree: Ensemble methods for hybrid neural networks
-
R.J. Mammone, ed., Chapman-Hall
-
M. P. Perrone, and L. N. Cooper, "When networks disagree: ensemble methods for hybrid neural networks," Neural Networks for Speech and Image Processing. R.J. Mammone, ed., Chapman-Hall, 1993.
-
(1993)
Neural Networks for Speech and Image Processing
-
-
Perrone, M.P.1
Cooper, L.N.2
-
15
-
-
33846688018
-
Ensemble of surrogates
-
T. Goel, R. T. Haftka, W. Shyy, and N. V. Queipo, "Ensemble of surrogates," Structural and Multidisciplinary Optimization, vol. 33, pp. 199-216, 2007.
-
(2007)
Structural and Multidisciplinary Optimization
, vol.33
, pp. 199-216
-
-
Goel, T.1
Haftka, R.T.2
Shyy, W.3
Queipo, N.V.4
-
16
-
-
56449097052
-
Ensemble of metamodels with optimized weight factors
-
E. Acar, and M. Rais-Rohani, "Ensemble of metamodels with optimized weight factors," Structural and Multidisciplinary Optimization, vol. 37, pp. 279-294, 2009.
-
(2009)
Structural and Multidisciplinary Optimization
, vol.37
, pp. 279-294
-
-
Acar, E.1
Rais-Rohani, M.2
-
17
-
-
33847107996
-
EMD: An ensemble algorithm for discovering regulatory motifs in DNA sequences
-
J. Hu, Y. D. Yang, and D. Kihara, "EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences," BMC Bioinformatics, vol. 7, 2006.
-
(2006)
BMC Bioinformatics
, vol.7
-
-
Hu, J.1
Yang, Y.D.2
Kihara, D.3
-
18
-
-
67349260139
-
Construct support vector machine ensemble to detect traffic incident
-
S. Chen, W. Wang, and H. Zuylen, "Construct support vector machine ensemble to detect traffic incident," Expert Systems with Applications, vol. 36, pp. 10976-10986, 2009.
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 10976-10986
-
-
Chen, S.1
Wang, W.2
Zuylen, H.3
-
19
-
-
84884550570
-
The ensemble Kalman filter: Theoretical formulation and practical implementation
-
G. Evensen, "The ensemble Kalman filter: Theoretical formulation and practical implementation," Ocean Dynamics, vol. 53, pp. 343-367, 2003.
-
(2003)
Ocean Dynamics
, vol.53
, pp. 343-367
-
-
Evensen, G.1
-
21
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," Journal of Machine Learning Research, vol. 1, pp. 211-244, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
22
-
-
4043137356
-
A tutorial on support vector regression
-
A. J. Smola, and B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, pp. 199-222, 2004.
-
(2004)
Statistics and Computing
, vol.14
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
23
-
-
33847104144
-
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures
-
DOI 10.1016/j.neunet.2006.01.020, PII S0893608006000529
-
M. Cernansky, M. Makula, and L. Cernansky, "Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures," Neural Networks, vol. 20, pp. 236-244, 2007. (Pubitemid 46283330)
-
(2007)
Neural Networks
, vol.20
, Issue.2
, pp. 236-244
-
-
Cernansky, M.1
Makula, M.2
Benuskova, L.3
-
24
-
-
58449121109
-
Damage propagation modeling for aircraft engine run-to-failure simulation
-
A. Saxena, and K. Goebel, "Damage propagation modeling for aircraft engine run-to-failure simulation," IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008.
-
IEEE, International Conference on Prognostics and Health Management, Denver, CO, Oct 6-9, 2008
-
-
Saxena, A.1
Goebel, K.2
-
25
-
-
23844454565
-
Decomposition methods for structural reliability analysis
-
DOI 10.1016/j.probengmech.2005.05.005, PII S026689200500010X
-
H. Xu, and S. Rahman, "Decomposition methods for structural reliability analysis," Probabilistic Engineering Mechanics, vol. 20, pp. 239-250, 2005. (Pubitemid 41145456)
-
(2005)
Probabilistic Engineering Mechanics
, vol.20
, Issue.3
, pp. 239-250
-
-
Xu, H.1
Rahman, S.2
|