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1

Achieving high confidence in fatigue reliability by quantif..:

Halfpenny, Andrew ; Chabod, Amaury ; Thumati, Balaje.
Procedia Structural Integrity. 57 (2024) - p. 718-730 , 2024

Link: https://doi.org/10.1016/..

2

Machine Learning-Driven RAM Analysis Using Multi-variate Se..:

, In: 2023 Annual Reliability and Maintainability Symposium (RAMS),

Gugaratshan, Guga ; Barthlow, Dakota ; Lingenfelser, Dan. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

3

Accelerating Fatigue Qualification Tests:

, In: 2022 Annual Reliability and Maintainability Symposium (RAMS),

Halfpenny, Andrew ; Thumati, Balaje T. - p. 1-7 , 2022

Link: https://doi.org/10.1109/..

4

Large-scale Fault Tree Implementation: A Software Tutorial:

, In: 2022 Annual Reliability and Maintainability Symposium (RAMS),

Thumati, Balaje T. ; Kemp, Jeffery - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

5

A model-based fault prognostics scheme for uncertain non-li..:

Thumati, Balaje T ; Jagannathan, S
Transactions of the Institute of Measurement and Control. 36 (2013) 4 - p. 445-464 , 2013

Link: https://doi.org/10.1177/..

6

A model-based fault tolerant control design for nonholonomi..:

Thumati, Balaje T ; Dierks, Travis ; Sarangapani, Jagannathan
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 9 (2011) 1 - p. 17-31 , 2011

Link: https://doi.org/10.1177/..

7

Optimal control of unknown affine nonlinear discrete-time s..:

Dierks, Travis ; Thumati, Balaje T. ; Jagannathan, S.
Neural Networks. 22 (2009) 5-6 - p. 851-860 , 2009

Link: https://doi.org/10.1016/..

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