Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate

Ruiz González, Mariano and López Navarro, Juan Manuel and Arcas Castro, Guillermo de and Barrera Lopez de Turiso, Eduardo and Melendez, R. and Vega, Jesús (2008). Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate. "Fusion Engineering and Design", v. 83 (n. 2); pp. 358-362. ISSN 0920-3796. https://doi.org/10.1016/j.fusengdes.2007.09.015.

Description

Title: Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate
Author/s:
  • Ruiz González, Mariano
  • López Navarro, Juan Manuel
  • Arcas Castro, Guillermo de
  • Barrera Lopez de Turiso, Eduardo
  • Melendez, R.
  • Vega, Jesús
Item Type: Article
Título de Revista/Publicación: Fusion Engineering and Design
Date: April 2008
ISSN: 0920-3796
Volume: 83
Subjects:
Freetext Keywords: Real-time data acquisition and processing; adaptive sampling; lossless compression; advanced intelligent instrumentation
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Sistemas Electrónicos y de Control [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Long pulse or steady state operation of fusion experiments require data acquisition and processing systems that reduce the volume of data involved. The availability of self-adaptive sampling rate systems and the use of real-time lossless data compression techniques can help solve these problems. The former is important for continuous adaptation of sampling frequency for experimental requirements. The latter allows the maintenance of continuous digitization under limited memory conditions. This can be achieved by permanent transmission of compressed data to other systems. The compacted transfer ensures the use of minimum bandwidth. This paper presents an implementation based on intelligent test and measurement system (ITMS), a data acquisition system architecture with multiprocessing capabilities that permits it to adapt the system’s sampling frequency throughout the experiment. The sampling rate can be controlled depending on the experiment’s specific requirements by using an external dc voltage signal or by defining user events through software. The system takes advantage of the high processing capabilities of the ITMS platform to implement a data reduction mechanism based in lossless data compression algorithms which are themselves based in periodic deltas.

More information

Item ID: 2559
DC Identifier: http://oa.upm.es/2559/
OAI Identifier: oai:oa.upm.es:2559
DOI: 10.1016/j.fusengdes.2007.09.015
Official URL: http://www.elsevier.com/wps/find/journaldescription.cws_home/505650/description#description
Deposited by: Memoria Investigacion
Deposited on: 17 Mar 2010 11:21
Last Modified: 20 Apr 2016 12:13
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