Browsing by Author "Rozas, Heraldo"
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Item A Diagnostics Model for Detecting Leak Severity in a Regenerable CO2 Removal System(51st International Conference on Environmental Systems, 7/10/2022) Eshima, Samuel; Nabity, James; Mohany, Ayush; Rozas, Heraldo; Gebraeel, NagiHuman spaceflight beyond Earth orbit will experience high latency in communication and data transmission requiring autonomous deep space habitats that can keep the crew alive when present and keep the habitat "alive" when not. To achieve this goal, the autonomous agent must be both self-aware and self-sufficient. A self-aware system able to perform advanced diagnostics and prognostics of possible failures will be crucial towards enabling autonomy. Keeping the crew alive will demand a robust Environmental Control and Life Support System (ECLSS), the health of which can be sensed in real-time (self-aware) and appropriate corrective action taken when something's wrong (self-sufficient). To investigate the feasibility for autonomous control of ECLSS, a case study utilized a machine learning-based diagnostics model for a leaky regenerable CO2 removal system. A zeolite 13X sorbent bed processed simulated cabin atmosphere flows laden with elevated levels of CO2. Experiments were conducted at nominal operating conditions as well as with faults to generate a diverse set of data for training the model. For this paper, a leak was introduced into the CO2 removal bed. We present the experimental data, describe model development for diagnostics, and then discuss its validation and performance. This paper will further pose a design framework for self-aware ECLSS that utilizes machine learning-based algorithms.Item ZeoDe Update 2024: CO2 Removal Degradation Testbed at UC Davis Center for Spaceflight Research(2024 International Conference on Environmnetal Systems, 2024-07-21) Ivey, Daniela B.; Lackey, Shannon J.; Rozas, Heraldo; Robinson, Stephen K.We provide an update on the inaugural experimental results from the newly-commissioned ZeoDe (Zeolite Capacity Degradation) testbed at the UC Davis Center for Spaceflight Research. The testbed is a chemically functional CO2 removal system that is designed to generate system degradation data for AI-driven intelligent prognostics through the introduction of humidity into the system. Degradation of a Zeolite bed by introduction of humidity can occur in a space habitat due to leaks or other faults. Even low levels of humidity build-up within the reactor bed leads to degradation of the sorbent�s CO2 removal capacity. Thus, the study of sorbent degradation is of paramount importance to any zeolite-based CO2 removal system deployed on future spacecraft. ZeoDe was created specifically to support research in the NASA-sponsored �Habitats Optimized for Missions of Exploration� (HOME) Space Technology Research Institute. The HOME institute is creating a foundation of technology for smart deep-space habitats that can both sustain human residents and sustain themselves without human residents. A vital element of any human-rated mission is the Environmental Control and Life Support System (ECLSS), composed of multiple subsystems, including an Air Revitalization subsystem that maintains a breathable atmosphere. Tracking performance, identifying performance degradation, predicting the remaining useful life of components, and performing maintenance on such a critical system are paramount to creating a safe, habitable environment and are thus key research areas within HOME. This paper will report on the commissioning, design validation, performance characterization, and initial results of introducing low-level humidity on the ability of the Zeolite bed to adsorb CO2.