Structural damage identification using interval modeling technique based on Neuro-Fuzzy system

摘要：

　　This paper presents a structural damage identification method using Interval Modeling Technique based on Neuro-Fuzzy System.The proposed approach begins by filtering the sensors output time series with wavelet real-time filtering algorithm.Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to model the structure and predict the displacement response.The Internal Modeling Technique accepts prediction results as the input and gives uncertainty coordinates as the output.Information Fusion is subsequently accomplished and then the damage can be identified after damage index is constructed.The proposed approach is demonstrated by application to an unmanned helicopter model.The result shows that,with the excitation and displacement signals,the proposed method can identify both the time and the location when the structural damage occurs unexpectedly.

关键词： wavelet real-time filtering algorithm interval modeling technique adaptive Neuro-Fuzzy inference system uncertainty coordinates information fusion

作者: Z.M.Deng F.T.Zhu J.F.Zhang

作者单位: School of Astronautics,Beijing University of Aeronautics and Astronautics,Beijing 100191,China Institute of Mechanics,Chinese Academy of Sciences,Beijing 100080,China

会议类型: 国际会议

会议名称: International Conference on Airworthiness & Fatigue -7th ICSAELS Series Conference(大飞机安全性能与疲劳国际会议)

会议地点: 北京

会议语种:英文

页码: 123-127

在线出版日期: 2013-03-24（万方平台首次上网日期，不代表论文的发表时间）