Fault Diagnosis for Aero-engine Multi-redundant Smart Sensors Based on Data Fusion

摘要：

　　In order to diagnosis the aero-engine multi-redundant smart sensors,a method based on data fusion was proposed.In this method,an improved fuzzy C-means clustering algorithm was used to get a fusion value based on multisensing units’ information,and then the residuals between the fusion value and measured values of the sensing units could be calculated.After that,the residuals could be used to monitor the health conditions of the sensors.The simulation results showed that the fusion value has a high accuracy,and the absolute error is less than 0.5 C,and also online sensing units fault location could be completed in the form of fault vector.

关键词： Distributed control system Redundancy technology Data fusion Engine

作者: Xusheng Zhai Shimei Yang Gang Li Jianming Jia

作者单位: The First Aeronautical College of Air Force, Hangkong Road 23＃, Xinyang, 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: 439-451

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）