Random demodulation for structural health monitoring excited by the five-cycle sine burst

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Abstract

Nowadays, the Structural Health Monitoring (SHM) has been paid more and more attention. The five-cycle sine burst is widely used as the exciting signal in SHM and the sensors' responded signals are analyzed to research the damage. In the sensor network, there will be many sensors which mean many responded signals will be sampled, restored and sometimes transferred. In the traditional way which is known as Nyquist sampling theorem, the sampling rate must be more than twice the highest rate of the original signal. In this way, the amount of data will be huge. As the result, the costs will be very expensive and the equipment may be huge and heavy, which is especially unaccepted in the aircraft. It is necessary to do some research to compress the signal. The Compressing Sensing (CS) theory provides new methods to compress the signals. The Random Demodulation (RD) is a specific method which can accomplish the physical implementation of CS theory. In this paper, according to the structure of RD, we chose some chips to build a RD system. And we did some experiments to verify the method through the system. We chose the Orthogonal Matching Pursuit (OMP) as the construct algorithm to recover the signal.

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APA

Li, X., Liang, D., Wang, Y., Qing, X., & Sun, H. (2017). Random demodulation for structural health monitoring excited by the five-cycle sine burst. In MATEC Web of Conferences (Vol. 139). EDP Sciences. https://doi.org/10.1051/matecconf/201713900075

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