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• W2147218213 abstract "In this paper, Qualtech Systems, Inc. and Honeywell Space Systems present their experience and actual results from the development of a remote monitoring solution for International Space Station (ISS) diagnostics & health management. The solution was modeled and integrated into a prototype demonstration for Mission Control Center (MCC) at Johnson Space Center in Houston. The system continuously monitored simulated ISS telemetry data, generated test results from that data, and processed the test results through a model-based reasoner. The system is expected to dramatically improve fault isolation and facilitate discrimination of the root cause from Caution & Warnings and sensor data. Currently, this analysis is performed manually by mission controllers. The automation of this health management function will result in rapid, accurate, and consistent diagnosis. Several issues will be discussed including temporal effects, synchronizing testing & reasoning (models), testing dependencies (where test results may be invalid due to faults), and telemetry drop-outs (when some or all telemetry data is not available). The paper will describe the actual modeling process used and give examples of the cause-effect failure space models with insight into the run-time reasoning method extracted directly from these models. The MCC demonstration scenarios will be described and the actual results from the reasoner will be shown along with a discussion of the demonstrated performance (speed/accuracy). Finally, the paper describes the expectations and scenarios for MCC deployment and application - the vision for how the system will be used to support day to day ISS operations and maintenance." @default.
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• W2147218213 date "2004-06-22" @default.
• W2147218213 modified "2023-09-25" @default.
• W2147218213 title "An intelligent remote monitoring solution for the international space station" @default.
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• W2147218213 doi "https://doi.org/10.1109/aero.2003.1234179" @default.
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