Year |
Citation |
Score |
2017 |
Raghavan A, Kiesel P, Sommer LW, Schwartz J, Lochbaum A, Hegyi A, Schuh A, Arakaki K, Saha B, Ganguli A, Kim KH, Kim C, Hah HJ, Kim S, Hwang G, et al. Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 1: Cell embedding method and performance Journal of Power Sources. 341: 466-473. DOI: 10.1016/J.Jpowsour.2016.11.104 |
0.318 |
|
2017 |
Ganguli A, Saha B, Raghavan A, Kiesel P, Arakaki K, Schuh A, Schwartz J, Hegyi A, Sommer LW, Lochbaum A, Sahu S, Alamgir M. Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 2: Internal cell signals and utility for state estimation Journal of Power Sources. 341: 474-482. DOI: 10.1016/J.Jpowsour.2016.11.103 |
0.318 |
|
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 |
0.644 |
|
2010 |
Orchard ME, Tang L, Saha B, Goebel K, Vachtsevanos G. Risk-sensitive particle-filtering-based prognosis framework for estimation of remaining useful life in energy storage devices Studies in Informatics and Control. 19: 209-218. DOI: 10.24846/V19I3Y201001 |
0.589 |
|
2009 |
Saha B, Goebel K, Poll S, Christophersen J. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework Ieee Transactions On Instrumentation and Measurement. 58: 291-296. DOI: 10.1109/Tim.2008.2005965 |
0.313 |
|
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 |
0.495 |
|
2006 |
Saha B, Vachtsevanos G. A model-based reasoning approach to system fault diagnosis Wseas Transactions On Systems. 5: 1997-2004. |
0.502 |
|
2006 |
Saha B, Vachtsevanos G. A novel model-based reasoning approach to system-level diagnostics of a helicopter intermediate gearbox Metrics: the Key to Success - Proceedings of the 60th Meeting of the Society For Machinery Failure Prevention Technology. 281-290. |
0.491 |
|
Show low-probability matches. |