CASIA OpenIR  > 数字内容技术与服务研究中心  > 智能技术与系统工程
Simulation and Fault Diagnosis for Aviation Engine Starting System based on SIMULINK
Ye SF(叶墅锋); Wang J(王健); Zhang GG(张桂刚); Su HX(苏海霞); Yao Q(姚琦); Jian Wang
2015
Conference NameChinese Automation Congress (CAC)
Source PublicationCAC2015
Pagespp:1834-1839
Conference Date2015
Conference Place湖北
Abstractwith test data to verify the accuracy of the results. Diagnostic results indicates that the complexity of the neural network structure and the training time are both reduced, and the accuracy of diagnosis is improved by the genetic algorithm combined with BP algorithm (GA-BP).
KeywordSimulink Simulaton Aviation Engine Starting System Princial Component Analysis Ga-bp Algorithm Fault Diagnosis
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11161
Collection数字内容技术与服务研究中心_智能技术与系统工程
Corresponding AuthorJian Wang
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Ye SF,Wang J,Zhang GG,et al. Simulation and Fault Diagnosis for Aviation Engine Starting System based on SIMULINK[C],2015:pp:1834-1839.
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