A New Condition Monitoring Approach for Maintenance Management in Concentrate Solar Plants

  • Carlos Quiterio Gómez MuñozEmail author
  • Fausto Pedro García Marquez
  • Cheng Liang
  • Kogia Maria
  • Mohimi Abbas
  • Papaelias Mayorkinos
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 362)


The concentrated solar energy is one of the most important renewable energy source. It is crucial to ensure that the solar receivers work properly to avoid failures, and to increase the reliability, availability, safety and maintainability. Non-destructive testing (NDT) is used in structural health monitoring systems for fault detection and diagnosis (FDD). The main purpose of this paper is to present a novel approach for FDD based on long range ultrasonic technology, together with a signal processing of ultrasonic waves (Shear waves) employing wavelet transforms using a variable window size. A new electromagnetic acoustic transducer (EMAT) generates high frequency waves that flow through the material. A similar transducer is also employed as a sensor to collect the guided wave. These waves have a particular behaviour according to the condition of the material. It is analyse the influence of the temperature in the propagation of an ultrasonic pulse through the material. This information is very useful to carry out a proper signal analysis in order to find cracks or failures on the pipes, the correct operation of the system, etc.


Maintenance management Concentrated solar plants Wavelet transform Electromagnetic acoustic receiver Parabolic through receiver High temperature ultrasonic signals 



This work has been supported by the EU project INTERSOLAR (Ref.: FP7-SME-2013-605028), the MINECO project WindSeaEnergy (Ref.: IPT-2012-0563-120000) and Sonemat for manufacturing the transducers.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Carlos Quiterio Gómez Muñoz
    • 1
    Email author
  • Fausto Pedro García Marquez
    • 1
  • Cheng Liang
    • 2
  • Kogia Maria
    • 2
  • Mohimi Abbas
    • 2
  • Papaelias Mayorkinos
    • 3
  1. 1.Ingenium Research GroupCastilla-La Mancha UniversityCiudad RealSpain
  2. 2.Brunel Innovation CentreBrunel UniversityLondonUK
  3. 3.University of BirminghamBirminghamUK

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