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Record Details

Record 7 of 3601
Neural networks analysis on SSME vibration simulation data
Author and Affiliation:
Lo, Ching F.(Tennessee Univ. - Calspan, Tullahoma, TN, United States)
Wu, Kewei(Tennessee Univ. - Calspan, Tullahoma, TN, United States)
Abstract: The neural networks method is applied to investigate the feasibility in detecting anomalies in turbopump vibration of SSME to supplement the statistical method utilized in the prototype system. The investigation of neural networks analysis is conducted using SSME vibration data from a NASA developed numerical simulator. The limited application of neural networks to the HPFTP has also shown the effectiveness in diagnosing the anomalies of turbopump vibrations.
Publication Date: Jan 01, 1993
Document ID:
19960009776
(Acquired Feb 06, 1996)
Accession Number: 96N16942
Subject Category: CYBERNETICS
Document Type: Conference Paper
Publication Information: Center for Space Transportation and Applied Research Fifth Annual Technical Symposium Proceedings; p. 00016 p
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: Tennessee Univ. - Calspan; Center for Space Transportation and Applied Research.; Tullahoma, TN, United States
Description: 16p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: No Copyright
NASA Terms: ANOMALIES; APPLICATIONS PROGRAMS (COMPUTERS); ARTIFICIAL INTELLIGENCE; CHANGE DETECTION; EXPERT SYSTEMS; NETWORK ANALYSIS; NEURAL NETS; SOFTWARE ENGINEERING; STRUCTURAL VIBRATION; TURBINE PUMPS; ALGORITHMS; ARCHITECTURE (COMPUTERS); COMPUTER GRAPHICS; FEEDFORWARD CONTROL; FLIGHT SIMULATION; SPACE SHUTTLE MAIN ENGINE
Imprint And Other Notes: In its Center for Space Transportation and Applied Research Fifth Annual Technical Symposium Proceedings 00016 p (SEE N96-16940 04-20)
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