Application of Independent Component Analysis to the Aero-engine Fault Diagnosis
In view of the complexity of aero-engine system, there are massive correlated parameters, a novel method for aeroengine fault diagnosis based on Independent Component Analysis (ICA) is proposed in this paper. ICA is already widely applied in many domains, but the aeroengine fault diagnosis domain hasnt involved. ICA is used to detect fault by calculating I2 statistics, and SVM models are constructed based on separate matrix of ICA. Applications illustrate the efficiency of the proposed approach.
ICA SVM Fault detection Aeroengine fault diagnosis
Li Zhonghai Zhang Yan Jiang Liying Qu Xiaoguang
Shenyang Institute of Aeronautical Engineering, Shenyang 110136, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5330-5333
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）