Distribution type uncertainty due to sparse and imprecise data (English)
- New search for: Sankararaman, S.
- New search for: Mahadevan, S.
- New search for: Sankararaman, S.
- New search for: Mahadevan, S.
In:
Mechanical Systems and Signal Processing
;
37
, 1-2
;
182-198
;
2012
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Distribution type uncertainty due to sparse and imprecise data
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Contributors:Sankararaman, S. ( author ) / Mahadevan, S. ( author )
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Published in:Mechanical Systems and Signal Processing ; 37, 1-2 ; 182-198
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2012-07-11
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Size:17 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 37, Issue 1-2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Special issue of Mechanical Systems and Signal Processing “Imprecise probabilities—What can they add to engineering analyses?”Beer, Michael / Ferson, Scott et al. | 2013
- 4
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Imprecise probabilities in engineering analysesBeer, Michael / Ferson, Scott / Kreinovich, Vladik et al. | 2013
- 30
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Analysing uncertainties: Towards comparing Bayesian and interval probabilities'Blockley, David et al. | 2012
- 43
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Estimating correlation under interval uncertaintyJalal-Kamali, Ali / Kreinovich, Vladik et al. | 2012
- 54
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Density-ratio robustness in dynamic state estimationBenavoli, Alessio / Zaffalon, Marco et al. | 2012
- 76
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A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materialsSánchez, Luciano / Couso, Inés / Palacios, Ana M. / Palacios, José L. et al. | 2012
- 92
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Generalized Fokker–Planck equation with generalized interval probabilityWang, Yan et al. | 2012
- 105
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Solutions to problems with imprecise data—An engineering perspective to generalized uncertainty modelsPannier, S. / Waurick, M. / Graf, W. / Kaliske, M. et al. | 2012
- 121
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Reliability analysis of polynomial systems subject to p-box uncertaintiesCrespo, Luis G. / Kenny, Sean P. / Giesy, Daniel P. et al. | 2012
- 137
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Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo methodZhang, Hao / Dai, Hongzhe / Beer, Michael / Wang, Wei et al. | 2012
- 152
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Fuzzy stochastic elements method. Spectral approachSniady, Pawel / Mazur-Sniady, Krystyna / Sieniawska, Roza / Zukowski, Stanislaw et al. | 2012
- 163
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Bounds for the stationary stochastic response of truss structures with uncertain-but-bounded parametersMuscolino, Giuseppe / Sofi, Alba et al. | 2012
- 182
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Distribution type uncertainty due to sparse and imprecise dataSankararaman, S. / Mahadevan, S. et al. | 2012
- 199
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Hybrid probabilities and error-domain structural identification using ambient vibration monitoringGoulet, James-A. / Michel, Clotaire / Smith, Ian F.C. et al. | 2012
- 213
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E2GKpro: An evidential evolving multi-modeling approach for system behavior prediction with applicationsSerir, Lisa / Ramasso, Emmanuel / Nectoux, Patrick / Zerhouni, Noureddine et al. | 2012
- 229
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Probabilistic confidence for decisions based on uncertain reliability estimatesReid, Stuart G. et al. | 2012
- 240
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Reliability analysis to resolve difficulty in choosing from alternative deflection models of RC beamsKim, Jung J. / Reda Taha, Mahmoud M. / Noh, Hyuk-Chun / Ross, Timothy J. et al. | 2012
- 253
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P-boxes for cost uncertainty analysisMehl, Christopher H. et al. | 2012
- 265
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New automatic ball balancer design to reduce transient-response in rotor systemKim, Taekil / Na, Sungsoo et al. | 2013
- 276
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Hard competitive growing neural network for the diagnosis of small bearing faultsBarakat, M. / El Badaoui, M. / Guillet, F. et al. | 2012
- 293
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A nonlinear probabilistic method and contribution analysis for machine condition monitoringYu, Jianbo et al. | 2013
- 315
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Mapping nonlinear forces with congruent vibration functionsFeldman, M. et al. | 2013
- 338
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An identification approach for linear and nonlinear time-variant structural systems via harmonic waveletsKougioumtzoglou, Ioannis A. / Spanos, Pol D. et al. | 2013
- 353
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Experimental validation of the direct transmissibility approach to classical transfer path analysis on a mechanical setupGuasch, Oriol / García, Carlos / Jové, Jordi / Artís, Pere et al. | 2013
- 370
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Parameter identification of fluid line networks by frequency-domain maximum likelihood estimationZecchin, Aaron C. / White, Langford B. / Lambert, Martin F. / Simpson, Angus R. et al. | 2013
- 388
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Development of a cyber-physical experimental platform for real-time dynamic model updatingSong, Wei / Dyke, Shirley et al. | 2012
- 403
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Next-generation parametric reduced-order modelsHong, Sung-Kwon / Epureanu, Bogdan I. / Castanier, Matthew P. et al. | 2012
- 422
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Fast maximum-likelihood identification of modal parameters with uncertainty intervals: A modal model-based formulationEl-kafafy, Mahmoud / De Troyer, Tim / Peeters, Bart / Guillaume, Patrick et al. | 2013
- 440
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A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphoneDas, Debi Prasad / Moreau, Danielle J. / Cazzolato, Ben S. et al. | 2012
- 455
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On evaluating lossy acquisitions of the responses of material hierarchical structures to the applied stressFan, Ming / Qi, Gang et al. | 2013
- 467
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Erratum to “Hilbert transform methods for nonparametric identification of nonlinear time varying vibration systems” by Michael Feldman Mech. Syst. Signal Process. in press, corrected proof, Available online 25 September 2013Feldman, Michael et al. | 2013
- iii
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From the editor's desk| 2013