Abstract
In this paper a IoT based data acquisition (DAQ) system has been developed for acquisition of the data from acoustic emission sensor for structural health monitoring (SHM) of the steel bridge using acoustic emission technique. The DAQ device is developed by using Raspberry Pi 3 Model B+ interfaced with a high-speed 1 MSPS and 16 bit ADC ADAQ7980 to capture the high frequency acoustic emission signal generated by crack related activities on the surface of the steel structure for real-time monitoring, identification and localisation of any crack happening on the structure through cloud computing.
Author supplied keywords
Cite
CITATION STYLE
Mukherjee, A., Maurya, A., Karmakar, P., & Bhattacharjee, P. (2020). Internet of Things Based Data Acquisition System of Acoustic Emission Sensor for Structural Health Monitoring Applications. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 38, pp. 139–146). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-34080-3_16
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
