Indranil Roychoudhury, Ph.D.
Affiliations: | 2009 | Vanderbilt University, Nashville, TN |
Area:
Computer ScienceGoogle:
"Indranil Roychoudhury"Parents
Sign in to add mentor| Gautam Biswas | grad student | 2009 | Vanderbilt | |
| (Distributed diagnosis of continuous systems: Global diagnosis through local analysis.) | ||||
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Publications
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| Bektas O, Jones JA, Sankararaman S, et al. (2019) A neural network framework for similarity-based prognostics. Methodsx. 6: 383-390 |
| Rigamonti M, Baraldi P, Zio E, et al. (2018) Ensemble of optimized echo state networks for remaining useful life prediction Neurocomputing. 281: 121-138 |
| Bektas O, Jones JA, Sankararaman S, et al. (2018) A neural network filtering approach for similarity-based remaining useful life estimation The International Journal of Advanced Manufacturing Technology. 101: 87-103 |
| Balaban E, Saxena A, Narasimhan S, et al. (2015) Prognostic health-management system development for electromechanical actuators Journal of Aerospace Information Systems. 12: 329-344 |
| Bregon A, Daigle M, Roychoudhury I. (2015) An integrated framework for distributed diagnosis of process and sensor faults Ieee Aerospace Conference Proceedings. 2015 |
| Daigle MJ, Roychoudhury I, Bregon A. (2015) Qualitative event-based diagnosis applied to a spacecraft electrical power distribution system Control Engineering Practice. 38: 75-91 |
| Daigle M, Bregon A, Roychoudhury I. (2015) A structural model decomposition framework for hybrid systems diagnosis Ceur Workshop Proceedings. 1507: 201-208 |
| Daigle MJ, Bregon A, Roychoudhury I. (2014) Distributed prognostics based on structural model decomposition Ieee Transactions On Reliability. 63: 495-510 |
| Bregon A, Daigle M, Roychoudhury I, et al. (2014) An event-based distributed diagnosis framework using structural model decomposition Artificial Intelligence. 210: 1-35 |
| Daigle M, Roychoudhury I, Bregon A. (2014) Qualitative event-based fault isolation under uncertain observations Phm 2014 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2014. 347-355 |