Pattern classification approach to rocket engine diagnostics
This paper presents a systems level approach to integrate state-of-the-art rocket engine technology with advanced computational techniques to develop an integrated diagnostic system (IDS) for future rocket propulsion systems. The key feature of this IDS is the use of advanced diagnostic algorithms for failure detection as opposed to the current practice of redline-based failure detection methods. The paper presents a top-down analysis of rocket engine diagnostic requirements, rocket engine operation, applicable diagnostic algorithms, and algorithm design techniques, which serve as a basis for the IDS. The concepts of hierarchical, model-based information processing are described, together with the use uf signal processing, pattern recognition, and artificial intelligence techniques which are an integral part of this diagnostic system. 27 refs.
- OSTI ID:
- 5649169
- Report Number(s):
- AIAA-Paper--89-2850; CONF-8907118--
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
420200* -- Engineering-- Facilities
Equipment
& Techniques
AIRCRAFT
ALGORITHMS
ARTIFICIAL INTELLIGENCE
DIAGNOSTIC TECHNIQUES
ENGINES
MAINTENANCE
MATHEMATICAL LOGIC
MONITORING
PATTERN RECOGNITION
PROPULSION SYSTEMS
RELIABILITY
ROCKET ENGINES
SPACE SHUTTLES
SPACE VEHICLES
TECHNOLOGY ASSESSMENT
VEHICLES