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Proceedings Paper

Remote diagnosis of the International Space Station utilizing telemetry data
Author(s): Somnath Deb; Chuck Domagala; Sudipto Ghoshal; Ann Patterson-Hine; Richard Alena
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Paper Abstract

Modern systems such as nuclear power plants, the Space Shuttle or the International Space Station are examples of mission critical systems that need to be monitored around the clock. Such systems typically consist of embedded sensors in networked subsystems that can transmit data to central (or remote) monitoring stations. At Qualtech Systems, we are developing a Remote Diagnosis Server (RDS) to implement a remote health monitoring systems based on telemetry data from such systems. RDS can also be used to provide online monitoring of sensor-rich, network capable, legacy systems such as jet engines, building heating-ventilation-air-conditioning systems, and automobiles. The International Space Station utilizes a highly redundant, fault tolerant, software configurable, complex, 1553 bus system that links all major sub-systems. All sensor and monitoring information is communicated using this bus and sent to the ground station via telemetry. It is, therefore, a critical system and any failures in the bus system need to be diagnosed promptly. We have modeled a representative section of the ISS 1553 bus system using publicly accessible information. In this paper, we present our modeling and analysis results, and our Telediagnosis solution for monitoring and diagnosis of the ISS based on Telemetry data.

Paper Details

Date Published: 20 July 2001
PDF: 12 pages
Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); doi: 10.1117/12.434253
Show Author Affiliations
Somnath Deb, Qualtech Systems, Inc. (United States)
Chuck Domagala, Qualtech Systems, Inc. (United States)
Sudipto Ghoshal, Qualtech Systems, Inc. (United States)
Ann Patterson-Hine, NASA Ames Research Ctr. (United States)
Richard Alena, NASA Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 4389:
Component and Systems Diagnostics, Prognosis, and Health Management
Peter K. Willett; Thiagalingam Kirubarajan, Editor(s)

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