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Abhinav Saxena
Abhinav Saxena
GE Aerospace Research
Bestätigte E-Mail-Adresse bei ge.com
Titel
Zitiert von
Zitiert von
Jahr
Damage propagation modeling for aircraft engine run-to-failure simulation
A Saxena, K Goebel, D Simon, N Eklund
2008 international conference on prognostics and health management, 1-9, 2008
19762008
Prognostics in battery health management
K Goebel, B Saha, A Saxena, JR Celaya, JP Christophersen
IEEE instrumentation & measurement magazine 11 (4), 33-40, 2008
7022008
Metrics for evaluating performance of prognostic techniques
A Saxena, J Celaya, E Balaban, K Goebel, B Saha, S Saha, ...
2008 international conference on prognostics and health management, 1-17, 2008
6762008
Metrics for offline evaluation of prognostic performance
A Saxena, J Celaya, B Saha, S Saha, K Goebel
International Journal of Prognostics and Health Management 1 (1), 20, 2010
5732010
Turbofan engine degradation simulation data set
A Saxena, K Goebel
NASA ames prognostics data repository 18, 878-887, 2008
4812008
An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries
J Liu, A Saxena, K Goebel, B Saha, W Wang
Annual Conference of the PHM Society 2 (1), 2010
3172010
Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
A Saxena, A Saad
Applied Soft Computing 7 (1), 441-454, 2007
2782007
Modeling, detection, and disambiguation of sensor faults for aerospace applications
E Balaban, A Saxena, P Bansal, KF Goebel, S Curran
IEEE Sensors Journal 9 (12), 1907-1917, 2009
2452009
A diagnostic approach for electro-mechanical actuators in aerospace systems
E Balaban, P Bansal, P Stoelting, A Saxena, KF Goebel, S Curran
2009 IEEE Aerospace conference, 1-13, 2009
2392009
A comparison of three data-driven techniques for prognostics
K Goebel, B Saha, A Saxena
62nd Meeting of the Society For Machinery Failure Prevention Technology …, 2008
2392008
On applying the prognostic performance metrics
A Saxena, J Celaya, B Saha, S Saha, K Goebel
Annual Conference of the PHM Society 1 (1), 2009
2292009
Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets
E Ramasso, A Saxena
International Journal of Prognostics and Health Management 5 (2), 15, 2014
2262014
Evaluating algorithm performance metrics tailored for prognostics
A Saxena, J Celaya, B Saha, S Saha, K Goebel
2009 IEEE Aerospace conference, 1-13, 2009
1672009
Prognostics of power MOSFETs under thermal stress accelerated aging using data-driven and model-based methodologies
JR Celaya, A Saxena, S Saha, KF Goebel
Annual Conference of the PHM Society 3 (1), 2011
1542011
In-situ fatigue life prognosis for composite laminates based on stiffness degradation
T Peng, Y Liu, A Saxena, K Goebel
Composite Structures 132, 155-165, 2015
1452015
Prognostics approach for power MOSFET under thermal-stress aging
JR Celaya, A Saxena, CS Kulkarni, S Saha, K Goebel
2012 Proceedings Annual Reliability and Maintainability Symposium, 1-6, 2012
1252012
Phm08 challenge data set
A Saxena, K Goebel
NASA Ames Prognostics Data Repository, 2008
1252008
Prognostics: The science of making predictions
K Goebel, MJ Daigle, A Saxena, I Roychoudhury, S Sankararaman, ...
1212017
Towards prognostics of power MOSFETs: Accelerated aging and precursors of failure
JR Celaya, A Saxena, P Wysocki, S Saha, K Goebel
Annual Conference of the PHM Society 2 (1), 2010
1192010
A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves
J He, X Guan, T Peng, Y Liu, A Saxena, J Celaya, K Goebel
Smart Materials and Structures 22 (10), 105007, 2013
1162013
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