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| Optimized complex Morlet wavelet -based structural closely spaced modes parameter identification |
| Du Yongfeng 1,2, Zhao Lijie1, DANG Xinghai1 ,Li Wanrun1 |
| 1. Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province，Lanzhou University of Technology，Lanzhou 730050; 2. Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education，Lanzhou 730050 |
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Abstract The paper presents the a method of the research on structural closely spaced modes parameter identification. A new optimization method with center frequency and bandwidth parameters of complex morlet wavelet was proposed, which uses combining Wavelet Shannon and minimum standard deviation. Firstly, the range of the center frequency and bandwidth parameters were derived theoretical .Secondly, center frequency and bandwidth parameters were optimized by two minimum criterion simultaneously. The accuracy and anti-noise performance of the optimization method has been confirmed through numerical simulation model and framework model experimental test.
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Received: 03 September 2013
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2015, Vol. 34 
