Year |
Citation |
Score |
2015 |
Balaban E, Saxena A, Narasimhan S, Roychoudhury I, Koopmans M, Ott C, Goebel K. Prognostic health-management system development for electromechanical actuators Journal of Aerospace Information Systems. 12: 329-344. DOI: 10.2514/1.I010171 |
0.467 |
|
2015 |
Peng T, He J, Xiang Y, Liu Y, Saxena A, Celaya J, Goebel K. Probabilistic fatigue damage prognosis of lap joint using Bayesian updating Journal of Intelligent Material Systems and Structures. 26: 965-979. DOI: 10.1177/1045389X14538328 |
0.313 |
|
2015 |
Chiachío J, Chiachío M, Sankararaman S, Saxena A, Goebel K. Condition-based prediction of time-dependent reliability in composites Reliability Engineering and System Safety. 142: 134-147. DOI: 10.1016/J.Ress.2015.04.018 |
0.346 |
|
2015 |
Chiachío J, Chiachío M, Saxena A, Sankararaman S, Rus G, Goebel K. Bayesian model selection and parameter estimation for fatigue damage progression models in composites International Journal of Fatigue. 70: 361-373. DOI: 10.1016/J.Ijfatigue.2014.08.003 |
0.332 |
|
2015 |
Peng T, Liu Y, Saxena A, Goebel K. In-situ fatigue life prognosis for composite laminates based on stiffness degradation Composite Structures. 132: 155-165. DOI: 10.1016/J.Compstruct.2015.05.006 |
0.375 |
|
2014 |
Peng T, Saxena A, Goebel K, Xiang Y, Liu Y. Integrated experimental and numerical investigation for fatigue damage diagnosis in composite plates Structural Health Monitoring-An International Journal. 13: 537-547. DOI: 10.1177/1475921714532992 |
0.348 |
|
2014 |
Zhang B, Orchard M, Saha B, Saxena A, Lee YJ, Vachtsevanos G. A verification framework with application to a propulsion system Expert Systems With Applications. 41: 5669-5679. DOI: 10.1016/J.Eswa.2014.03.017 |
0.633 |
|
2013 |
Peng T, Saxena A, Goebel K, Xiang Y, Sankararaman S, Liu Y. A novel Bayesian imaging method for probabilistic delamination detection of composite materials Smart Materials and Structures. 22. DOI: 10.1088/0964-1726/22/12/125019 |
0.319 |
|
2012 |
Silva JCD, Saxena A, Balaban E, Goebel K. A knowledge-based system approach for sensor fault modeling, detection and mitigation Expert Systems With Applications. 39: 10977-10989. DOI: 10.1016/J.Eswa.2012.03.026 |
0.421 |
|
2009 |
Zhang B, Khawaja T, Patrick R, Vachtsevanos G, Orchard ME, Saxena A. Application of blind deconvolution denoising in failure prognosis Ieee Transactions On Instrumentation and Measurement. 58: 303-310. DOI: 10.1109/Tim.2008.2005963 |
0.636 |
|
2009 |
Balaban E, Saxena A, Bansal P, Goebel KF, Curran S. Modeling, detection, and disambiguation of sensor faults for aerospace applications Ieee Sensors Journal. 9: 1907-1917. DOI: 10.1109/Jsen.2009.2030284 |
0.405 |
|
2008 |
Goebel K, Saha B, Saxena A, Celaya JR, Christophersen JP. Prognostics in battery health management Ieee Instrumentation and Measurement Magazine. 11: 33-40. DOI: 10.1109/Mim.2008.4579269 |
0.461 |
|
2007 |
Saxena A, Saad A. Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems Applied Soft Computing. 7: 441-454. DOI: 10.1016/J.Asoc.2005.10.001 |
0.392 |
|
2006 |
Saxena A, Wu B, Vachtsevanos G. A hybrid reasoning architecture for fleet vehicle maintenance - Artificial intelligence-based diagnostic approach with particular reference to dynamic case-based reasoning Ieee Instrumentation and Measurement Magazine. 9: 29-36. DOI: 10.1109/Mim.2006.1664039 |
0.543 |
|
2005 |
Wu B, Saxena A, Patrick R, Vachtsevanos G. Vibration monitoring for fault diagnosis of helicopter planetry gears Ifac Proceedings Volumes (Ifac-Papersonline). 16: 755-760. DOI: 10.3182/20050703-6-Cz-1902.00127 |
0.578 |
|
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