The Simulation for Damage Identification of wing model Basis on PNN

摘要：

Based on the Finite Element wing model of a certain UA V,neural network approach is used to identify the location and degree of damage.First of all,the theory,characteristics and structure of probabilistic neural network (PNN) is introduced. Then,the onedimensional and two-dimensional simplified Finite Element damage models of the wing are established.By the extraction and processing of their natural frequencies and vibration modes from damaged wing structure with different damage position and different damage degree,the trained PNN have the ability of damage identification.Simulation shows that,the model based on PNN can effectively identify the location and degree of damage.

关键词： damage identification PNN natural frequency vibration mode

作者: Jianbin Zhao Mei Yuan Qiang You

作者单位: School of Automation Science and Electrical Engineering,Beijing University of Aeronautics & Astronautics,Beijing 100191,P.R.China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 400-403

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）