Scipediacontent: Scipediacontent moved page Draft Content 495952840 to Zhang et al 2020f

2021-02-12T13:58:40Z

Scipediacontent moved page Draft Content 495952840 to Zhang et al 2020f

Scipediacontent: Created page with " == Abstract == An ultrasonic sensors system is commonly used to measure the wall thickness of buried pipelines in the transportation of oil and gas. The key of the system is..."

2021-02-12T13:58:35Z

Created page with " == Abstract == An ultrasonic sensors system is commonly used to measure the wall thickness of buried pipelines in the transportation of oil and gas. The key of the system is..."

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== Abstract ==

An ultrasonic sensors system is commonly used to measure the wall thickness of buried pipelines in the transportation of oil and gas. The key of the system is to precisely measure time-of-flight difference (TOFD) produced by the reflection of ultrasonic on the inner and outer surfaces of the pipelines. In this paper, based on deep learning, a novel method termed Wave-Transform Network is proposed to tackle the issues. The network consists of two parts: part 1 is designed to separate the potential overlapping ultrasonic echo signals generated from two surfaces, and part 2 is utilized to divide the sample points of each signal into two types corresponding to before and after the arrival time of ultrasonic echo, which can determine the time-of-flight (TOF) of each signal and calculate the thickness of pipelines. Numerical simulation and actual experiments are carried out, and the results show satisfactory performances.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_495952840-beopen449-9090-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://europepmc.org/articles/PMC7570909 http://europepmc.org/articles/PMC7570909] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/1424-8220/20/18/5140/pdf https://www.mdpi.com/1424-8220/20/18/5140/pdf]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#LiWZGYLS20 https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#LiWZGYLS20],
: [https://www.mdpi.com/1424-8220/20/18/5140 https://www.mdpi.com/1424-8220/20/18/5140],
: [https://www.mdpi.com/1424-8220/20/18/5140/pdf https://www.mdpi.com/1424-8220/20/18/5140/pdf],
: [https://doi.org/10.3390/s20185140 https://doi.org/10.3390/s20185140],
: [https://academic.microsoft.com/#/detail/3083843682 https://academic.microsoft.com/#/detail/3083843682] under the license cc-by

* [https://www.mdpi.com/1424-8220/20/18/5140 https://www.mdpi.com/1424-8220/20/18/5140],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220]

* [https://www.mdpi.com/1424-8220/20/18/5140/pdf https://www.mdpi.com/1424-8220/20/18/5140/pdf],
: [http://dx.doi.org/10.3390/s20185140 http://dx.doi.org/10.3390/s20185140]

under the license https://creativecommons.org/licenses/by/4.0/

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Zhang et al 2020f - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 495952840 to Zhang et al 2020f

Scipediacontent: Created page with " == Abstract == An ultrasonic sensors system is commonly used to measure the wall thickness of buried pipelines in the transportation of oil and gas. The key of the system is..."