| System identification and estimation framework for pivotal automotive battery management system characteristics B Pattipati, C Sankavaram, K Pattipati IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011 | 342 | 2011 |
| Model-based and data-driven prognosis of automotive and electronic systems C Sankavaram, B Pattipati, A Kodali, K Pattipati, M Azam, S Kumar, ... 2009 IEEE international conference on automation science and engineering, 96-101, 2009 | 122 | 2009 |
| Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter J Son, S Zhou, C Sankavaram, X Du, Y Zhang Reliability Engineering & System Safety 152, 38-50, 2016 | 84 | 2016 |
| Incremental classifiers for data-driven fault diagnosis applied to automotive systems C Sankavaram, A Kodali, KR Pattipati, S Singh IEEE access 3, 407-419, 2015 | 59 | 2015 |
| RUL prediction for individual units based on condition monitoring signals with a change point J Son, Y Zhang, C Sankavaram, S Zhou IEEE Transactions on Reliability 64 (1), 182-196, 2014 | 51 | 2014 |
| Nonparametric modeling and prognosis of condition monitoring signals using multivariate Gaussian convolution processes R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang Technometrics 60 (4), 484-496, 2018 | 46 | 2018 |
| An integrated health management process for automotive cyber-physical systems C Sankavaram, A Kodali, K Pattipati 2013 international conference on computing, networking and communications …, 2013 | 38 | 2013 |
| Fault diagnosis in the automotive electric power generation and storage system (EPGS) A Kodali, Y Zhang, C Sankavaram, K Pattipati, M Salman IEEE/ASME Transactions On Mechatronics 18 (6), 1809-1818, 2012 | 38 | 2012 |
| Fault diagnosis in hybrid electric vehicle regenerative braking system C Sankavaram, B Pattipati, KR Pattipati, Y Zhang, M Howell IEEE Access 2, 1225-1239, 2014 | 36 | 2014 |
| Dynamic coupled fault diagnosis with propagation and observation delays S Zhang, KR Pattipati, Z Hu, X Wen, C Sankavaram IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (6), 1424-1439, 2013 | 34 | 2013 |
| Integrated model-based and data-driven fault detection and diagnosis approach for an automotive electric power steering system R Ghimire, C Sankavaram, A Ghahari, K Pattipati, Y Ghoneim, M Howell, ... 2011 Ieee Autotestcon, 70-77, 2011 | 33 | 2011 |
| Event-driven data mining techniques for automotive fault diagnosis C Sankavaram, A Kodali, DFM Ayala, K Pattipati, S Singh, ... Annual Conference of the PHM Society 2 (2), 2010 | 32 | 2010 |
| An integrated diagnostic process for automotive systems K Pattipati, A Kodali, J Luo, K Choi, S Singh, C Sankavaram, S Mandal, ... Computational intelligence in automotive applications, 191-218, 2008 | 32 | 2008 |
| Controller architecture for monitoring health of an autonomous vehicle S Jiang, X Du, SW Holland, C Sankavaram, A Sarwar, S Duan US Patent 10,424,127, 2019 | 31 | 2019 |
| Remaining useful life prediction based on the mixed effects model with mixture prior distribution R Kontar, J Son, S Zhou, C Sankavaram, Y Zhang, X Du IISE Transactions 49 (7), 682-697, 2017 | 31 | 2017 |
| Nonparametric-condition-based remaining useful life prediction incorporating external factors R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang IEEE Transactions on Reliability 67 (1), 41-52, 2017 | 24 | 2017 |
| Data-driven fault diagnosis in a hybrid electric vehicle regenerative braking system C Sankavaram, B Pattipati, K Pattipati, Y Zhang, M Howell, M Salman 2012 IEEE Aerospace Conference, 1-11, 2012 | 18 | 2012 |
| A prognostic framework for health management of coupled systems C Sankavaram, A Kodali, K Pattipati, B Wang, MS Azam, S Singh 2011 IEEE Conference on Prognostics and Health Management, 1-10, 2011 | 12 | 2011 |
| Combustion engine airflow management systems and methods C Sankavaram, S Duan, L Wiggins US Patent 10,026,241, 2018 | 11 | 2018 |
| Combustion engine airflow management systems and methods C Sankavaram, S Duan, L Wiggins, S Levijoki, D Sorrell, T Kuzmanov US Patent 10,152,834, 2018 | 9 | 2018 |
