This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Multi-Parameter Algorithm to Enhance Real-Time Space Shuttle Main Propulsion System Fault Detection
Annotation ability available
Sector:
Language:
English
Abstract
Real-time algorithms which provide the earliest possible indication of off-nominal Space Shuttle Main Engine (SSME) conditions could improve Shuttle safety and reliability by providing more time for corrective action. Multi-parameter fault detection techniques have been targeted because they do not rely on a single parameter for fault information and thereby improve confidence in the detection. Furthermore, no assumptions regarding failure modes are required, permitting the detection of previously unencountered or unanticipated failures. The Clustering Algorithm, a multi-parameter fault detection approach that was originally trained and validated on SSME ground test firing data, was slightly modified and applied to SSME historical flight data; the application is documented in this report. Preliminary studies were conducted to assess the impact of different engines, different missions and different thrust profiles on the performance of the Clustering Algorithm. The algorithm successfully predicted sixteen performance parameters during mainstage operation of the engine when applied to nominal data sets and provided indications of off-nominal behavior when applied to data from an engine which had experienced an offset in one of the control parameters. The information from the Clustering Algorithm is intended to enhance the diagnostic information available to the NASA Johnson Space Center control room engineers during flight.
Citation
Meyer, C., Maul, W., Dwyer, K., and Zakrajsek, J., "Multi-Parameter Algorithm to Enhance Real-Time Space Shuttle Main Propulsion System Fault Detection," SAE Technical Paper 951398, 1995, https://doi.org/10.4271/951398.Also In
References
- Roth, P. Computer Program Contract End Item, Flight 4C Configuration, Space Shuttle Main Engine Controller Operational Program, Part 1 Rockwell International/Rocketdyne Division November 1988
- Cikanek, H.A. Characteristics of Space Shuttle Main Engine Failures , AIAA Paper 87-1939 June 1987
- Taniguchi, M.H. Failure Control Techniques for the SSME, Phase I Final Report 1986
- Nemeth, E. Health Management System for Rocket Engines, Final Report January 1990
- Hawman, M.H. Galinaitis, W.S. Tulpule, S. Mattedi, A. Framework for a Space Shuttle Main Engine Health Monitoring System, Final Report May 1990
- Norman, A. Rocketdyne Safety Algorithm, Space Shuttle Main Engine Fault Detection July 1994
- Hawman, M.H. Ruiz, C.A. Galinaitis, W.S. Space Shuttle Main Engine Health Monitoring System - Fault Detection Algorithm Validation and Implementation, Final Report May 1994
- Bickmore, Timothy Real-Time Sensor Data Validation Proceedings of Conference on Advanced Earth-to-Orbit Propulsion Technology May 17-19 1994