Integration of embedded data processing algorithms inside PAMELA devices

Ruiz González, Mariano and Barrera López de Turiso, Eduardo and Fernández Bernardo, Nestor and Meléndez de Francisco, Raúl and Alcaide Pardo, Ángel and Aranguren Aramendia, Gerardo and Monje, Pedro María (2014). Integration of embedded data processing algorithms inside PAMELA devices. In: "7th European Workshop on Structural Health Monitoring (EWSHM 2014)", 8/07/2014 - 11/07/2014, Nantes, France. pp. 9-16.

Description

Title: Integration of embedded data processing algorithms inside PAMELA devices
Author/s:
  • Ruiz González, Mariano
  • Barrera López de Turiso, Eduardo
  • Fernández Bernardo, Nestor
  • Meléndez de Francisco, Raúl
  • Alcaide Pardo, Ángel
  • Aranguren Aramendia, Gerardo
  • Monje, Pedro María
Item Type: Presentation at Congress or Conference (Article)
Event Title: 7th European Workshop on Structural Health Monitoring (EWSHM 2014)
Event Dates: 8/07/2014 - 11/07/2014
Event Location: Nantes, France
Title of Book: 7th European Workshop on Structural Health Monitoring
Date: 2014
Subjects:
Freetext Keywords: structural heath monitoring, Lamb waves, piezoelectric transducers, embedded data processing.
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

PAMELA (Phased Array Monitoring for Enhanced Life Assessment) SHMTM System is an integrated embedded ultrasonic guided waves based system consisting of several electronic devices and one system manager controller. The data collected by all PAMELA devices in the system must be transmitted to the controller, who will be responsible for carrying out the advanced signal processing to obtain SHM maps. PAMELA devices consist of hardware based on a Virtex 5 FPGA with a PowerPC 440 running an embedded Linux distribution. Therefore, PAMELA devices, in addition to the capability of performing tests and transmitting the collected data to the controller, have the capability of perform local data processing or pre-processing (reduction, normalization, pattern recognition, feature extraction, etc.). Local data processing decreases the data traffic over the network and allows CPU load of the external computer to be reduced. Even it is possible that PAMELA devices are running autonomously performing scheduled tests, and only communicates with the controller in case of detection of structural damages or when programmed. Each PAMELA device integrates a software management application (SMA) that allows to the developer downloading his own algorithm code and adding the new data processing algorithm to the device. The development of the SMA is done in a virtual machine with an Ubuntu Linux distribution including all necessary software tools to perform the entire cycle of development. Eclipse IDE (Integrated Development Environment) is used to develop the SMA project and to write the code of each data processing algorithm. This paper presents the developed software architecture and describes the necessary steps to add new data processing algorithms to SMA in order to increase the processing capabilities of PAMELA devices.An example of basic damage index estimation using delay and sum algorithm is provided.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPROSAVE2-CENITUnspecifiedUnspecifiedUnspecified

More information

Item ID: 37481
DC Identifier: http://oa.upm.es/37481/
OAI Identifier: oai:oa.upm.es:37481
Official URL: http://www.ewshm2014.com/
Deposited by: Memoria Investigacion
Deposited on: 30 Mar 2016 18:47
Last Modified: 30 Mar 2016 18:47
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