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Model-Based Diagnosis and Prognosis of a Water Recycling System
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Author and Affiliation:
Roychoudhury, Indranil(Stinger Ghaffarian Technologies, Inc. (SGT, Inc.), Moffett Field, CA, United States);
Hafiychuk, Vasyl(Stinger Ghaffarian Technologies, Inc. (SGT, Inc.), Moffett Field, CA, United States);
Goebel, Kai Frank(NASA Ames Research Center, Moffett Field, CA, United States)
Abstract: A water recycling system (WRS) deployed at NASA Ames Research Center s Sustainability Base (an energy efficient office building that integrates some novel technologies developed for space applications) will serve as a testbed for long duration testing of next generation spacecraft water recycling systems for future human spaceflight missions. This system cleans graywater (waste water collected from sinks and showers) and recycles it into clean water. Like all engineered systems, the WRS is prone to standard degradation due to regular use, as well as other faults. Diagnostic and prognostic applications will be deployed on the WRS to ensure its safe, efficient, and correct operation. The diagnostic and prognostic results can be used to enable condition-based maintenance to avoid unplanned outages, and perhaps extend the useful life of the WRS. Diagnosis involves detecting when a fault occurs, isolating the root cause of the fault, and identifying the extent of damage. Prognosis involves predicting when the system will reach its end of life irrespective of whether an abnormal condition is present or not. In this paper, first, we develop a physics model of both nominal and faulty system behavior of the WRS. Then, we apply an integrated model-based diagnosis and prognosis framework to the simulation model of the WRS for several different fault scenarios to detect, isolate, and identify faults, and predict the end of life in each fault scenario, and present the experimental results.
Publication Date: Mar 01, 2013
Document ID:
20130011073
(Acquired Mar 16, 2013)
Subject Category: MAN/SYSTEM TECHNOLOGY AND LIFE SUPPORT
Report/Patent Number: ARC-E-DAA-TN7854, IEEAC Paper 2344
Document Type: Conference Paper
Meeting Information: 2013 IEEE Aerospace Conference; 2-9 Mar. 2013; Big Sky, MT; United States
Meeting Sponsor: Institute of Electrical and Electronics Engineers; United States
Contract/Grant/Task Num: NNA08CG83C
Financial Sponsor: NASA Ames Research Center; Moffett Field, CA, United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 9p; In English; Original contains color and black and white illustrations
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution as joint owner in the copyright
NASA Terms: DIAGNOSIS; MAINTENANCE; PROGNOSIS; RECYCLING; SPACE FLIGHT; TECHNOLOGY UTILIZATION; WASTE WATER
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