2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Dec. 19, 2016 to Dec. 21, 2016
A. Ihsan Auditia , School of Electrical Enginering and Informatics, Institut Teknologi Bandung. Jl. Ganesha No.10, Bandung, Jawa Barat, Indonesia, 40132
Pranoto H. Rusmin , School of Electrical Enginering and Informatics, Institut Teknologi Bandung. Jl. Ganesha No.10, Bandung, Jawa Barat, Indonesia, 40132
This paper studies about one of methods in Structural Health Monitoring (SHM) systems, and includes with implementation in real time. The method using in this paper is Neural networks for recognation by read pattern from vibration at plate surface. To perform detection vibration, we use pieze-sensor, which this sensor works with change value of vibration to voltage. For implementaion, This systems use a Labview for monitoring and programing, so each event can see directly in realtime. Many Analysis prosess include in code program such as a fourier transform, Neural network, and regretion. Before anlysis processing, we must change value analog signal to digital signal with help of ADC from microcontroler. Another function in This microcontroller is a source of vibration, so it can be produce a sinus signal and transfer it to the speaker. This embeded systems can be detect damage and undamage conditions.
Regression, SHM, Fourier Transform, Neural Network, Labview
A. I. Auditia and P. H. Rusmin, "Structure health monitoring using fourier transform and neural network," 2016 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2016, pp. 160-162.