Incipient Fault Detection for a Hypersonic Scramjet Vehicle

摘要：

　　Incipient fault detection is an important technical issue for hypersonic scramjet vehicle safety.To extract faulty residual from signals that affected by system uncertainty,disturbance,and noise at the same time,a hybrid fault detection scheme is proposed,in which model transformation,wavelet de-noising,as well as online KPCA methods are adopted.The model transformation method is used to select appropriate residual signal; and the latter two methods are used to detect incipient faults.A simulate example is presented to illustrate this scheme.

关键词： Incipient fault detection Wavelet transform Principal component analysis

作者: Le-yao Li Xin-min Wang Ling-xia Mu

作者单位: Automation School, Northwestern Polytechnical University, Xi’an 710129, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 31-38

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）