Chetan S. Kulkarni

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Engineering Systems

Allocation Policy

Health Management

Top Venues

Reliab. Eng. Syst. Saf.

IEEE Instrum. Meas. Mag.

Publications

Juan Fernández Salas, Juan Chiachío, José Barros, Manuel Chiachío, Chetan S. Kulkarni
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Reliab. Eng. Syst. Saf. 243 (2024)
Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, Manuel Chiachío
Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. Comput. Ind. 155 (2024)
Christopher Teubert, Katelyn J. Jarvis, Matteo Corbetta, Chetan S. Kulkarni, Matthew J. Daigle
ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems. J. Open Source Softw. 8 (87) (2023)
Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink
A prescriptive Dirichlet power allocation policy with deep reinforcement learning. Reliab. Eng. Syst. Saf. 224 (2022)
Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning. CoRR (2022)
Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. CoRR (2022)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217 (2022)
Daniel E. Hulse, Arpan Biswas, Christopher Hoyle, Irem Y. Tumer, Chetan S. Kulkarni, Kai Goebel
Exploring Architectures for Integrated Resilience Optimization. J. Aerosp. Inf. Syst. 18 (10) (2021)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data 6 (1) (2021)
Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR (2020)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR (2020)
Gina Sierra, Marcos E. Orchard, Kai Goebel, Chetan S. Kulkarni
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms. Reliab. Eng. Syst. Saf. 182 (2019)
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 (2019)
Fangzhou Sun, Abhishek Dubey, Chinmaya Samal, Hiba Baroud, Chetan S. Kulkarni
Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks. SMARTCOMP (2018)
Chetan S. Kulkarni, George Gorospe, Matthew J. Daigle, Kai Goebel
A testbed for implementing prognostic methodologies on cryogenic propellant loading systems. IEEE Instrum. Meas. Mag. 18 (4) (2015)
Chetan S. Kulkarni, Jose Celaya, Gautam Biswas, Kai Goebel
Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. Infotech@Aerospace (2012)