دنبال کردن
Shankar Sankararaman
Shankar Sankararaman
Data Scientist and Machine Learning, Intuit
ایمیل تأیید شده در intuit.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling‏
M Baptista, S Sankararaman, IP de Medeiros, C Nascimento Jr, ...‏
Computers & Industrial Engineering 115, 41-53, 2018‏
2892018
Uncertainty Quantification and Model Validation of Fatigue Crack Growth Prediction‏
S Sankararaman, Y Ling, S Mahadevan‏
Engineering Fracture Mechanics 78 (7), 1487-1504, 2011‏
2612011
Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction‏
S Sankararaman‏
Mechanical Systems and Signal Processing 52, 228-247, 2015‏
2072015
Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data‏
S Sankararaman, S Mahadevan‏
Reliability Engineering & System Safety 96 (7), 814-824, 2011‏
1722011
Resilience-based network design under uncertainty‏
X Zhang, S Mahadevan, S Sankararaman, K Goebel‏
Reliability Engineering & System Safety 169, 364-379, 2018‏
1672018
Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems‏
S Sankararaman, S Mahadevan‏
Reliability Engineering & System Safety 138, 194-209, 2015‏
1522015
Separating the contributions of variability and parameter uncertainty in probability distributions‏
S Sankararaman, S Mahadevan‏
Reliability Engineering & System Safety 112, 187-199, 2013‏
1452013
Uncertainty quantification in remaining useful life prediction using first-order reliability methods‏
S Sankararaman, MJ Daigle, K Goebel‏
IEEE Transactions on Reliability 63 (2), 603-619, 2014‏
1412014
Prognostics: The science of making predictions‏
K Goebel, MJ Daigle, A Saxena, I Roychoudhury, S Sankararaman, ...‏
1202017
Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas‏
DS Jang, CA Ippolito, S Sankararaman, V Stepanyan‏
AIAA Information Systems-AIAA Infotech@ Aerospace, 0449, 2017‏
1202017
A neural network filtering approach for similarity-based remaining useful life estimation‏
O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel‏
The International Journal of Advanced Manufacturing Technology 101 (1), 87-103, 2019‏
1052019
Condition-based prediction of time-dependent reliability in composites‏
J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel‏
Reliability Engineering & System Safety 142, 134-147, 2015‏
982015
Model validation under epistemic uncertainty‏
S Sankararaman, S Mahadevan‏
Reliability Engineering & System Safety 96 (9), 1232-1241, 2011‏
952011
Bayesian methodology for diagnosis uncertainty quantification and health monitoring‏
S Sankararaman, S Mahadevan‏
Structural Control and Health Monitoring, 2011‏
952011
Why is the Remaining Useful Life Prediction Uncertain?‏
S Sankararaman, K Goebel‏
Annual Conference of the Pr ognostics and Health Management Society, USA, 2013‏
942013
Uncertainty in prognostics and systems health management‏
S Sankararaman, K Goebel‏
International journal of prognostics and health management 6 (4), 2015‏
922015
Uncertainty in prognostics and systems health management‏
S Sankararaman, K Goebel‏
International journal of prognostics and health management 6 (4), 2015‏
922015
Methodologies for system-level remaining useful life prediction‏
H Khorasgani, G Biswas, S Sankararaman‏
Reliability Engineering & System Safety 154, 8-18, 2016‏
892016
Bayesian model selection and parameter estimation for fatigue damage progression models in composites‏
J Chiachío, M Chiachío, A Saxena, S Sankararaman, G Rus, K Goebel‏
International Journal of Fatigue 70, 361-373, 2015‏
862015
Likelihood-based approach to multidisciplinary analysis under uncertainty‏
S Sankararaman, S Mahadevan‏
822012
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20