Sensor Fault Diagnosis and Classification in Aero-engine

摘要：

　　In this paper,a model-based analytical redundancy method is used for sensor fault detection.The diagnosis system uses Kalman filters as state estimators,which can detect 6 kinds of typical sensor fault modes.Then Design a Multikernel SVM fault classification system,which makes use of PCA and WPEE method to extract fault characteristic.Compared to the traditional diagnostic and classification methods,Multi-kernel SVM is more effective

关键词： Sensor fault diagnosis Fault classification Kalman filter Multikernel SVM

作者: Feixiang Zhu Benwei Li Zhao Li Yun Zhang

作者单位: Graduate Students’ Brigade, Naval Aeronautical and Astronautical University, Yantai, Shandong, China Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai, Aeronautical Engine Military Representatives Office of Navy, Xi’an, Shanxi

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: 397-411

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）