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

Ruiz González, Mariano; López Navarro, Juan Manuel; Arcas Castro, Guillermo de; Barrera Lopez de Turiso, Eduardo; Melendez, R. y 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.

Descripción

Título: Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate
Autor/es:
  • Ruiz González, Mariano
  • López Navarro, Juan Manuel
  • Arcas Castro, Guillermo de
  • Barrera Lopez de Turiso, Eduardo
  • Melendez, R.
  • Vega, Jesús
Tipo de Documento: Artículo
Título de Revista/Publicación: Fusion Engineering and Design
Fecha: Abril 2008
Volumen: 83
Materias:
Palabras Clave Informales: Real-time data acquisition and processing; adaptive sampling; lossless compression; advanced intelligent instrumentation
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Sistemas Electrónicos y de Control [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 2559
Identificador DC: http://oa.upm.es/2559/
Identificador OAI: oai:oa.upm.es:2559
Identificador DOI: 10.1016/j.fusengdes.2007.09.015
URL Oficial: http://www.elsevier.com/wps/find/journaldescription.cws_home/505650/description#description
Depositado por: Memoria Investigacion
Depositado el: 17 Mar 2010 11:21
Ultima Modificación: 20 Abr 2016 12:13
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