A Framework Design of Automatic Fault Diagnosis System

Abstract:

To resolve a lasting suitable cabin environment for the astronauts, this paper proposes an effective framework design for automatic fault diagnosis system. This framework can implement a real-time online diagnosis and decision support for fault, and carry out an early diagnosis for weak fault. Finally, this paper achieves an online automatic fault diagnosis system by using neural networks self-learning characteristics and expert knowledge. In two-men-two-days simulated manned space flight test, the software of diagnosis system framework worked well, which has been assessed and verified comprehensively.

• Periodical: Applied Mechanics and Materials (Volume 330)
• Pages: 635-638
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.330.635
• Online since: June 2013
• Authors: Wei Hu, Yi Bing Deng, Hong Qi Feng, Qing E Wu, Bin Tang, Jian Hua Zou
• Keywords: Automatic Fault Diagnosis System, Decision Making Support, Expert System, Neural Network (NN), Space Station

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