Early Results of an Integrated Water Recovery System Test

Pickering, Karen D.; Wines, Kristina R.; Pariani, Gina M.; Franks, Lea A.; Yeh, Jannivine; Campbell, Melissa; Finger, Barry W.; Verostko, Charles E.; Carrier, Chris; Gandhi, Jayesh C.; Vega, Leticia

doi:10.4271/2001-01-2210

Cited by 17 publications

(13 citation statements)

References 2 publications

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“…We apply our distributed diagnosis approach to a large realworld system, the Advanced Water Recovery System (AWRS), designed and built at the NASA Johnson Space Center (JSC) as part of Advanced Life Support (ALS) Systems for long duration manned missions [6]. The AWRS, shown in Fig.…”

Section: An Experimental Case Study: the Advanced Water Recovery mentioning

confidence: 99%

“…The set of diagnosers do not exchange any information between themselves to produce globally correct diagnosis results. We apply both algorithms to a complex, real-world system, the Advanced Water Recovery System developed at the NASA Johnson Space Center [6]. The experimental results demonstrate the computational efficiency and reduction in communication overhead achieved by our distributed diagnosis approach.…”

Section: Introductionmentioning

confidence: 96%

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Designing Distributed Diagnosers for Complex Continuous Systems

Roychoudhury

Biswas

Koutsoukos

2009

IEEE Trans. Automat. Sci. Eng.

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Abstract-Wear and tear from sustained operations cause systems to degrade and develop faults. Online fault diagnosis schemes are necessary to ensure safe operation and avoid catastrophic situations, but centralized diagnosis approaches have large memory and communication requirements, scale poorly, and create single points of failure. To overcome these problems, we propose an online, distributed, model-based diagnosis scheme for isolating abrupt faults in large continuous systems. This paper presents two algorithms for designing the local diagnosers and analyzes their time and space complexity. The first algorithm assumes the subsystem structure is known and constructs a local diagnoser for each subsystem. The second algorithm creates a partition structure and local diagnosers simultaneously. We demonstrate the effectiveness of our approach by applying it to the Advanced Water Recovery System developed at the NASA Johnson Space Center.Note to Practitioners-Fault detection, isolation, and recovery approaches are important for maintaining performance and safety in large safety-critical systems, such as the Advanced Life Support (ALS) System for future long-duration NASA manned missions that we present in this paper. These systems consist of a number of complex, interacting, spatially-distributed subsystems. Centralized model-based diagnosis approaches are expensive in memory and communication requirements, and they create single points of failure. Previous distributed diagnosis approaches apply to discrete event system models, but these approaches become computationally intractable when applied to complex continuous systems. This paper develops a systematic modelbased approach to distributing the diagnosis task by designing multiple diagnosers that operate independently and generate globally correct diagnoses. We present a complete approach that includes a topological modeling scheme for constructing the dynamic system models, algorithms for constructing the distributed diagnosers, and a systematic methodology for deriving efficient subsystem diagnosis using these diagnosers. We then demonstrate the applicability of this approach to the ALS system.

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Section: An Experimental Case Study: the Advanced Water Recovery mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Designing Distributed Diagnosers for Complex Continuous Systems

Roychoudhury

Biswas

Koutsoukos

2009

IEEE Trans. Automat. Sci. Eng.

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“…An actual experimental WRS was designed, built, and evaluated at the NASA Johnson Space Center (JSC) in a multi year project [4,11]. The WRS simulation model used in this work, as well as the basic WRS model in BioSim, are based on the JSC design.…”

Section: Hybrid Modeling and Simulation Of The Water Recovery Systemmentioning

confidence: 99%

“…The potable water is collected in a second storage tank. In this work we consider only waste water and potable water as resources [11]. An additional water resource may be modeled, to indicate "grey water", and the BioSim WRS model represents the influent to the PPS as this resource.…”

Section: The Jsc Wrs System Testbedmentioning

confidence: 99%

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Multi-Scale Modeling of Advanced Life Support Systems

Manders¹,

Bell²,

Biswas³

et al. 2005

SAE Technical Paper Series

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Regenerative life support systems for long duration human space exploration missions present unique design challenges that are also reflected in constructing behavior models of these systems for analysis purposes. These systems have multiple modes of operation and complex non-linear dynamics that occur at multiple time scales. Coarse grained analysis of the complete system over long duration and fine grained analysis of smaller system elements while avoiding computational intractability can be achieved by using multiple modeling and simulation paradigms. We describe a multi-level simulation model of an advanced life support system. The simulation model couples a discrete-event approach at the system level, with more detailed hybrid (continuous/discrete) physical system modeling at the sub-system level.

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Environmental Control and Life Support (ECLS) Systems

Vega¹

2020

Handbook of Bioastronautics

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Early Results of an Integrated Water Recovery System Test

Cited by 17 publications

References 2 publications

Designing Distributed Diagnosers for Complex Continuous Systems

Designing Distributed Diagnosers for Complex Continuous Systems

Multi-Scale Modeling of Advanced Life Support Systems

Environmental Control and Life Support (ECLS) Systems

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