Paper
20 July 2001 Model-based testability assessment and directed troubleshooting of shuttle wiring systems
Somnath Deb, Chuck Domagala, Roshan Shrestha, Venkatesh Narayana Malepati, Kevin F. Cavanaugh, Ann Patterson-Hine, Dwight Sanderfer, Jim Cockrell
Author Affiliations +
Abstract
As the space shuttle ages, it is experiencing wiring degradation problems, including arcing, chaffing, insulation breakdown and broken conductors. A systematic and comprehensive test process is required to thoroughly test and QA the wiring systems. The NASA Wiring Integrity Reseach (WIRe) team recognized the value of a formal model based analysis for risk assessment and fault coverage analysis using our TEAMS toolset and commissioned a pilot study with QSI to explore means of automatically extracting high fidelity multisignal models from wiring information databases. The MEC1 Shuttle subsystem was the subject of this study. The connectivity and wiring information for the model was extracted from a Shuttle Connector Analysis Network (SCAN) electronic wirelist. Using this wirelist, QSI concurrently created manual and automatically generated wiring models for all wire paths associated with connector J3 on the MEC1 assembly. The manually generated model helped establish the rules of modeling. The complete MEC1 model was automatically generated based on these rules, thus saving significant modeling cost. The methodology is easily extensible to the entire shuttle wiring system. This paper presents our modeling and analysis results from the pilot study along with our proposed solutions to the complex issues of wiring integrity assessment problem.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Somnath Deb, Chuck Domagala, Roshan Shrestha, Venkatesh Narayana Malepati, Kevin F. Cavanaugh, Ann Patterson-Hine, Dwight Sanderfer, and Jim Cockrell "Model-based testability assessment and directed troubleshooting of shuttle wiring systems", Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); https://doi.org/10.1117/12.434235
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Cited by 7 scholarly publications.
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KEYWORDS
Connectors

Data modeling

Systems modeling

Diagnostics

Failure analysis

Analytical research

Safety

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