国际设备工程与管理（英文版）2003，Vol.8Issue(2)：80-87,8.
A Study on Turbo-rotor Multi-fault Diagnosis Based on a Neural Network
A Study on Turbo-rotor Multi-fault Diagnosis Based on a Neural Network
摘要
Abstract
The multi-fault phenomena are common in the turbo-rotor system of a liquid rocket engine. As it has many excellent qualities, the neural network might be used to solve the problems of multi-fault diagnosis of a turbo-rotor system. First, the feature expression of a common turbo-rotor fault was studied in order to build up the standard fault pattern and satisfy the need of neural network studying and diagnosing. Then, the turbo-rotor fault identification and diagnosis problems were investigated by using a BP(back-propagation) neural network. According to the BP neural network problems, the parallel BP neural network method of multi-fault diagnosis and classification was presented and investigated. The results indicated that the parallel BP neural network method could solve the turbo-rotor multi-fault diagnosis problems.关键词
turbo-rotor system/neural network/fault diagnosisKey words
turbo-rotor system/neural network/fault diagnosis分类
信息技术与安全科学引用本文复制引用
SUN Shou-qun,ZHAO San-xing,ZHANG Wei,CHANG Xin-long..A Study on Turbo-rotor Multi-fault Diagnosis Based on a Neural Network[J].国际设备工程与管理（英文版）,2003,8(2):80-87,8.基金项目
This paper is supported by National Natural Science Foundation of China under Grant No. 50275116, and by National 863 Project of China under Grant No. 863-2001 AA411310. （）
