Authors: Gwanghee Heo Joonryong Jeon
Publish Date: 2016/06/06
Volume: 21, Issue: 1, Pages: 307-314
Abstract
Wireless sensor networks basedstructural health monitoring is being widely researched To make a better structural health monitoring realtime acquisition of structural responses is indispensable However the data which is large in number especially when they are of moving structures are difficult to be measured and the adaptation of wireless sensor networks further limits structural health monitoring within the capacity of radio frequency In this study cochleainspired artificial filter bank was developed as a technological way to efficiently acquire dynamic responses at a wireless sensor networks basedstructural health monitoring The cochleainspired artificial filter bank developed in this article was enabled to acquire valid dynamic responses of compressed size around the frequency range of interest by simulating raw data to the full regarding to time and frequency of dynamic responses In addition the digitalized cochleainspired artificial filter bank was also found to fix the disadvantages of analogue filters by its easy and efficient development of logics optimization design of software and realtime autonomous execution Finally the cochleainspired artificial filter bank makes it possible to compress and reduce the vast amount of realtime dynamic responses usually obtained by means of a uniform rate of sample into a manageable size It is thus expected to open up a new paradigm in the Wireless sensor networks basedstructural health monitoring of civil structures by facilitating an efficient measurement and management of data base
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