Cracks and Welds Detection Approach in Solar Receiver Tubes Employing EMATs

Carlos Quiterio Gómez Muñoz, Alfredo Arcos Jimenez, Fausto Pedro García Márquez, Maria Kogia, Liang Cheng, Abbas Mohimi, Mayorkinos Papaelias

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
259 Downloads (Pure)

Abstract

There is a significant rising in development of new Concentrated Solar Plants (CSP) due to global energy demands. CSP requires to improve the operational and maintainability in this industry. This paper presents a new approach to identify defects in the solar receiver tubes and welds employing a simple electro-magnetic acoustic transducers (EMAT). The absorber tubes in normal working conditions must withstand high temperatures, which can cause that the tubes to deteriorate in areas such as welding, or it can cause hot spots due to defects or corrosion. A proper predictive maintenance program for the absorber pipes is required to detect defects in the tubes at an early stage, reducing corrective maintenance costs and increasing the reliability, availability, and safety of the concentrator solar plant. This paper presents a novel approach based on signal processing and pattern recognition for predictive maintenance employing EMATs. Hilbert Transform is used to obtain the envelope of the signal, that is smoothed by wavelet transform. It reduces the probability of detecting false positive alarms. The algorithm uses the distance of the sensors from the edges to perform a self-identification of signal events. The events are located using two possible ways of ultrasound propagation, forward and reverse, and the time of flight of each echo. The algorithm correlates the theoretical events with events founds experimentally. These echoes could come from different paths due to the EMAT generating forward and reverse Shear Waves. The main novelty in this approach is that the location of the defect can be determined considering two echoes that come from the same defect, but they arrive to the sensor flowing by different paths. The results obtained with a double validation by matching the echoes that meet certain conditions. It increases the accuracy of the inspection and reduces false alarms. The approach has been tested and validated in an experimental platform that simulates the concentrator solar plants.
Original languageEnglish
Pages (from-to)1046-1055
Number of pages10
JournalStructural Health Monitoring
Volume17
Issue number5
DOIs
Publication statusPublished - 11 Oct 2017

Keywords

  • fault detection and diagnosis
  • wavelet transforms
  • non destructive tests
  • concentrator solar plants
  • condition monitoring
  • structural health monitoring

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