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Chetan S. Kulkarni
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2020 – today
- 2024
- [j9]Juan Fernández Salas
, Matteo Corbetta, Chetan S. Kulkarni
Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. Comput. Ind. 155: 104058 (2024) - [j8]Juan Fernández Salas
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Reliab. Eng. Syst. Saf. 243: 109822 (2024) - [c3]Abel Díaz-González, Austin Coursey, Marcos Quiñones-Grueiro, Chetan S. Kulkarni, Gautam Biswas:
Data-Driven RUL Prediction Using Performance Metrics (Short Paper). DX 2024: 21:1-21:15 - 2023
- [j7]Christopher Teubert
ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems. J. Open Source Softw. 8(87): 5099 (2023) - 2022
- [j6]Manuel Arias Chao
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217: 107961 (2022) - [j5]Yuan Tian
A prescriptive Dirichlet power allocation policy with deep reinforcement learning. Reliab. Eng. Syst. Saf. 224: 108529 (2022) - [i5]Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink:
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning. CoRR abs/2201.08445 (2022) - [i4]Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. CoRR abs/2206.02555 (2022) - 2021
- [j4]Manuel Arias Chao
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data 6(1): 5 (2021) - [j3]Daniel E. Hulse
Exploring Architectures for Integrated Resilience Optimization. J. Aerosp. Inf. Syst. 18(10): 665-678 (2021) - 2020
- [i3]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR abs/2003.00732 (2020) - [i2]Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR abs/2006.04001 (2020)
2010 – 2019
- 2019
- [j2]Gina Sierra
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms. Reliab. Eng. Syst. Saf. 182: 166-178 (2019) - [i1]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. CoRR abs/1908.01529 (2019) - 2018
- [c2]Fangzhou Sun
Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks. SMARTCOMP 2018: 155-162 - 2015
- [j1]Chetan S. Kulkarni, George Gorospe, Matthew J. Daigle
A testbed for implementing prognostic methodologies on cryogenic propellant loading systems. IEEE Instrum. Meas. Mag. 18(4): 5-15 (2015) - 2012
- [c1]Chetan S. Kulkarni, Jose Celaya, Gautam Biswas, Kai Goebel:
Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. Infotech@Aerospace 2012
Coauthor Index
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