Power Efficient Pervasive Smart Sensor System for Structural Health Monitoring

Vakacharla, Nagendra Kumar (2017) Power Efficient Pervasive Smart Sensor System for Structural Health Monitoring. Masters thesis, Indian Institute of Technology Hyderabad.

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vi Abstract Smart Structural health monitoring is essential to detect failures of the structures. Micro - strip patch antenna along with Radio frequency identification(RFID) tags are inexpensive and can be manufactured in bulk to deploy over the entire structure t o be monitored. Here the meander line Antenna acts as a sensing element. Any deformation of the structure to be monitored leads to change in the length of the meander line which changes the delay of backscattered echo signal of the sensor. The detected signals from the antennas are mixed with the environmental signals. To separate the original signals from the mixed signals we used Independent Component Analysis(ICA). The real - time crack localization of the crack and associated processing is done on an ARM - based microcontroller (mbed LPC1768). RFID along with the real time communication module (for e.g. Bluetooth low energy module) measures the extent of the damage in r eal time. Subsequently, the processed information is sent to mobile in real time using Bluetooth module. Single channel ICA(SCICA) is used to separate the mixed signals, SCICA uses the Fast ICA algorithm (FICA) . F ICA is an iterative algorith m to separate th e mixed signal without the source signal information , the associated processing of the received signals and the crack localization of the crack increases the System on Chip(SoC) size of the smart sensor system for Structural Health Monitoring(SHM). Hardwar e Software partitioning of the signal processing module enhances the system design. The iterative FICA algorithm is implemented in the microprocessor (software) and the remaining modules are hardware components of the design.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: SHM, structural health monitoring, BRAM, localization, TD835
Subjects: Electrical Engineering > Electrical and Electronic
Electrical Engineering > Instruments and Instrumentation
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Jun 2017 05:37
Last Modified: 29 Jun 2017 05:37
URI: http://raiith.iith.ac.in/id/eprint/3305
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