JOURNAL ARTICLE

Real time failure detection algorithm for the Space Shuttle main engine

Hagop V. PanossianW.D. Ewing

Year: 1997 Journal:   IEEE Control Systems Vol: 17 (4)Pages: 16-23   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A real-time fault detection algorithm for the Space Shuttle main engine (SSME) is presented in this article. The system for anomaly and failure detection (SAFD) has been successfully tested on the NASA Technology Test Bed (TTB)engine at Marshall Space Flight Center in Alabama. It is currently being tested on the NASA Stennis test stand A-1, and has already proved its capability by detecting a failure earlier than a plume observer, while the redline system did not even detect the fault. It detects failures during steady-state and power throttling engine operation by monitoring 24 engine parameters in a real-time manner. The signal averages are compared with upper and lower safety limits, and if a multiple of sensor outputs violate the limits then a fault is flagged.

Keywords:
Fault detection and isolation Space Shuttle Anomaly detection Engineering Fault (geology) Real-time computing Computer science Aerospace engineering Electrical engineering Artificial intelligence

Metrics

10
Cited By
0.74
FWCI (Field Weighted Citation Impact)
16
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Data Processing Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Risk and Safety Analysis
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

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