 An embedded system approach for energy monitoring and analysis in industrial processesJaime André Back, Leonel Pablo Tedesco, Rolf Fredi Molz and Elpidio Oscar Benitez Nara Energy, 2016, vol. 115, issue P1, 811-819 Abstract: This paper presents the development of a low cost embedded system targeted to energy management in industrial environments. The main objective of this study is a methodology for monitoring, acquisition and analysis of electrical parameters using digital signal processing (DSP) techniques. For this task, a system (hardware and software) responsible for the acquisition records the input signals using low cost technologies, such as microcontrollers, DSP platforms and embedded system like ARM System-on-Chip (SoC) Architecture. Finally, for data analysis, two applications were created: one using the Matlab® software, and another derived from the first, to run on the embedded device. Both applications used Discrete Wavelet Transform as primary technique of disturbances detection. As a result, it is shown a complete system for monitoring and analysis of electrical parameters, serving as a tool to aid the energy management in industrial processes. Keywords: Electrical power quality; Energy efficiency; Embedded systems (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:115:y:2016:i:p1:p:811-819 DOI: 10.1016/j.energy.2016.09.045 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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