A Framework Design of Automatic Fault Diagnosis System

Autor: Yi Bing Deng, Wei Hu, Bin Tang, Jian Hua Zou, Qing E Wu, Hong Qi Feng
Rok vydání: 2013
Předmět:
Zdroj: Applied Mechanics and Materials. 330:635-638
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.330.635
Popis: 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.
Databáze: OpenAIRE