Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data
Author:
Affiliation:
1. Xi’an Aerospace Propulsion Institute, Xi’an 710100, China
2. School of Future Technology, Xi’an Jiaotong University, Xi’an 710049, China
3. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/12/5636/pdf
Reference44 articles.
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2. Space shuttle main engine failure detection;Cikanek;IEEE Control Syst. Mag.,1986
3. Cikanek, H.A. (July, January 29). Characteristics of space shuttle main engine failures. Proceedings of the 23rd Joint Propulsion Conference, San Diego, CA, USA.
4. Jue, F., and Kuck, F. (2002, January 7–10). Space shuttle main engine (SSME) options for the future shuttle. Proceedings of the 38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, Indianapolis, Indiana.
5. Davidson, M., and Stephens, J. (2004, January 11–14). Advanced health management system for the space shuttle main engine. Proceedings of the 40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, Fort Lauderdale, FL, USA.
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