Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. - Chetan S. Kulkarni; Jose Celaya; Gautam Biswas; Kai Goebel (Infotech@Aerospace, 2012)

A testbed for implementing prognostic methodologies on cryogenic propellant loading systems. - Chetan S. Kulkarni; George Gorospe; Matthew J. Daigle; Kai Goebel (IEEE Instrum. Meas. Mag., 2015)

Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks. - Fangzhou Sun; Abhishek Dubey; Chinmaya Samal; Hiba Baroud; Chetan S. Kulkarni (SMARTCOMP, 2018)

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2019)

Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms. - Gina Sierra; Marcos E. Orchard; Kai Goebel; Chetan S. Kulkarni (Reliab. Eng. Syst. Saf., 2019)

Real-Time Model Calibration with Deep Reinforcement Learning. - Yuan Tian 014; Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2020)

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Data, 2021)

Exploring Architectures for Integrated Resilience Optimization. - Daniel E. Hulse; Arpan Biswas; Christopher Hoyle; Irem Y. Tumer; Chetan S. Kulkarni; Kai Goebel (J. Aerosp. Inf. Syst., 2021)

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. - Luca Biggio; Tommaso Bendinelli; Chetan S. Kulkarni; Olga Fink (CoRR, 2022)

Fusing physics-based and deep learning models for prognostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

A prescriptive Dirichlet power allocation policy with deep reinforcement learning. - Yuan Tian 014; Minghao Han; Chetan S. Kulkarni; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems. - Christopher Teubert; Katelyn J. Jarvis; Matteo Corbetta; Chetan S. Kulkarni; Matthew J. Daigle (J. Open Source Softw., 2023)

Data-Driven RUL Prediction Using Performance Metrics (Short Paper). - Abel Díaz-González; Austin Coursey; Marcos Quiñones-Grueiro; Chetan S. Kulkarni; Gautam Biswas (DX, 2024)

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. - Juan Fernández Salas; Matteo Corbetta; Chetan S. Kulkarni; Juan Chiachío; Manuel Chiachío (Comput. Ind., 2024)

Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. - Juan Fernández Salas; Juan Chiachío; José Barros; Manuel Chiachío; Chetan S. Kulkarni (Reliab. Eng. Syst. Saf., 2024)

Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning. - Mina Montazeri; Chetan S. Kulkarni; Olga Fink (Reliab. Eng. Syst. Saf., 2025)