Pattern classification approach to rocket engine diagnostics

Conference · Sun Jan 01 00:00:00 EST 1989

OSTI ID:5649169

Tulpule, S

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-
• Resource Relation: Conference: 25. American Society of Mechanical Engineers joint propulsion conference, Monterey, CA (USA), 10-13 Jul 1989
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
ROCKET ENGINES
DIAGNOSTIC TECHNIQUES
ALGORITHMS
ARTIFICIAL INTELLIGENCE
MAINTENANCE
MONITORING
PATTERN RECOGNITION
PROPULSION SYSTEMS
RELIABILITY
SPACE SHUTTLES
TECHNOLOGY ASSESSMENT
AIRCRAFT
ENGINES
MATHEMATICAL LOGIC
SPACE VEHICLES
VEHICLES
420200* - Engineering- Facilities
Equipment
& Techniques