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A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks
The heat exchanger (HE) is an important component of almost every energy generation system. Periodic inspection of the HEs is particularly important to keep high efficiency of the entire system. In this paper, a novel ultrasonic water immersion inspection method is presented based on circumferential...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450277/ https://www.ncbi.nlm.nih.gov/pubmed/36727198 http://dx.doi.org/10.1177/00368504221146081 |
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author | ugli Malikov, Azamatjon Kakhramon Cho, Younho Kim, Young H. Kim, Jeongnam Kim, Hyung-Kyu |
author_facet | ugli Malikov, Azamatjon Kakhramon Cho, Younho Kim, Young H. Kim, Jeongnam Kim, Hyung-Kyu |
author_sort | ugli Malikov, Azamatjon Kakhramon |
collection | PubMed |
description | The heat exchanger (HE) is an important component of almost every energy generation system. Periodic inspection of the HEs is particularly important to keep high efficiency of the entire system. In this paper, a novel ultrasonic water immersion inspection method is presented based on circumferential wave (CW) propagation to detect defective HE. Thin patch-type piezoelectric elements with multiple resonance frequencies were adopted for the ultrasonic inspection of narrow-spaced HE in an immersion test. Water-filled HE was used to simulate defective HE because water is the most reliable indicator of the defect. The HE will leak water no matter what the defect pattern is. Furthermore, continuous wavelet transform (CWT) was used to investigate the received CW, and inverse CWT was applied to separate frequency bands corresponding to the thickness and lateral resonance modes of the piezoelectric element. Different arrangements of intact and leaky HE were tested with several pairs of thin piezoelectric patch probes in various instrumental setups. Also, direct waveforms in the water without HE were used as reference signals, to indicate instrumental gain and probe sensitivity. Moreover, all filtered CW corresponding to resonance modes together with the direct waveforms in the water were used to train the deep neural networks (DNNs). As a result, an automatic HE state classification method was obtained, and the accuracy of the applied DNN was estimated as 99.99%. |
format | Online Article Text |
id | pubmed-10450277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104502772023-08-26 A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks ugli Malikov, Azamatjon Kakhramon Cho, Younho Kim, Young H. Kim, Jeongnam Kim, Hyung-Kyu Sci Prog Ultrasonic Guided Waves in Complex Media with Applications in Materials characterization Using NDE Methods The heat exchanger (HE) is an important component of almost every energy generation system. Periodic inspection of the HEs is particularly important to keep high efficiency of the entire system. In this paper, a novel ultrasonic water immersion inspection method is presented based on circumferential wave (CW) propagation to detect defective HE. Thin patch-type piezoelectric elements with multiple resonance frequencies were adopted for the ultrasonic inspection of narrow-spaced HE in an immersion test. Water-filled HE was used to simulate defective HE because water is the most reliable indicator of the defect. The HE will leak water no matter what the defect pattern is. Furthermore, continuous wavelet transform (CWT) was used to investigate the received CW, and inverse CWT was applied to separate frequency bands corresponding to the thickness and lateral resonance modes of the piezoelectric element. Different arrangements of intact and leaky HE were tested with several pairs of thin piezoelectric patch probes in various instrumental setups. Also, direct waveforms in the water without HE were used as reference signals, to indicate instrumental gain and probe sensitivity. Moreover, all filtered CW corresponding to resonance modes together with the direct waveforms in the water were used to train the deep neural networks (DNNs). As a result, an automatic HE state classification method was obtained, and the accuracy of the applied DNN was estimated as 99.99%. SAGE Publications 2023-02-01 /pmc/articles/PMC10450277/ /pubmed/36727198 http://dx.doi.org/10.1177/00368504221146081 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Ultrasonic Guided Waves in Complex Media with Applications in Materials characterization Using NDE Methods ugli Malikov, Azamatjon Kakhramon Cho, Younho Kim, Young H. Kim, Jeongnam Kim, Hyung-Kyu A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title | A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title_full | A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title_fullStr | A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title_full_unstemmed | A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title_short | A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
title_sort | novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks |
topic | Ultrasonic Guided Waves in Complex Media with Applications in Materials characterization Using NDE Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450277/ https://www.ncbi.nlm.nih.gov/pubmed/36727198 http://dx.doi.org/10.1177/00368504221146081 |
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