An Experimental Study of the Cochlea-inspired Artificial Filter Bank(CAFB) for Compressed Sensing

압축센싱을 위한 달팽이관 원리기반 인공필터뱅크의 실험적 검증

Heo, Gwanghee;Jeon, Joonryong;Jeon, Seunggon

  • Received : 2015.10.16
  • Accepted : 2015.11.16
  • Published : 2015.11.20


In this paper, a cochlea-inspired artificial filter bank(CAFB) was developed in order to efficiently acquire dynamic response of structure, and it was also evaluated via dynamic response experiments. To sort out signals containing significant modal information from all the dynamic responses of structure, it was made to adopt a band-pass filter optimizing algorithm(BOA) and a peak-picking algorithm (PPA). Optimally designed on the basis of El-centro and Kobe earthquake signals, it was then embedded into the wireless multi-measurement system(WiMMS). In order to evaluate the performance of the developed CAFB, a vibration test was conducted using the El-centro and Kobe earthquake signals, and structural responses of a two-span bridge were obtained and analyzed simultaneously by both a wired measurement system and a CAFB-based WiMMS. The test results showed that the compressed dynamic responses acquired by the CAFB-based WiMMS matched with those of the wired system, and they included significant modal information of the two-span bridge. Therefore this study showed that the developed CAFB could be used as a new, economic, and efficient measurement device for wireless sensor networks(WSNs) based real time structural health monitoring because it could reconstruct the whole dynamic response using the compressed dynamic response with significant modal information.


Structural Health Monitoring;Cochlea-inspired Artificial Filter Bank;Band-pass Filter Optimizing Algorithm;Peak-picking Algorithm;Wireless Multi-measurement System;Compressed Sensing


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