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Title: 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.
Authors:
Publication Date:
OSTI Identifier:
5649169
Report Number(s):
AIAA-Paper--89-2850; CONF-8907118--
Resource Type:
Conference
Resource Relation:
Conference: 25. American Society of Mechanical Engineers joint propulsion conference, Monterey, CA (USA), 10-13 Jul 1989
Publisher:
Monterey, CA (US); AIAA
Country of Publication:
United States
Language:
English
Subject:
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