Research on NDT sensor for the railhead foot crack detection -2

the research of convolutional neural networks in computer vision, natural language processing, speech recognition and other fields has made great progress and attracted the attention of researchers from all walks of life. Here we review the development history and working ideas of convolutional ne...

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Main Author: Qin, Yuan
Other Authors: Zheng Yuanjin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149689
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1496892023-07-07T18:22:56Z Research on NDT sensor for the railhead foot crack detection -2 Qin, Yuan Zheng Yuanjin School of Electrical and Electronic Engineering YJZHENG@ntu.edu.sg Engineering::Electrical and electronic engineering the research of convolutional neural networks in computer vision, natural language processing, speech recognition and other fields has made great progress and attracted the attention of researchers from all walks of life. Here we review the development history and working ideas of convolutional neural networks , and analyze applying convolutional neural networks to the problem of fault diagnosis of motor equipment, and hope that the analysis and research in this paper can provide a new viewpoint for the problem of motor equipment fault diagnosis Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-07T11:54:57Z 2021-06-07T11:54:57Z 2021 Final Year Project (FYP) Qin, Y. (2021). Research on NDT sensor for the railhead foot crack detection -2. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149689 https://hdl.handle.net/10356/149689 en A2376-192 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Qin, Yuan
Research on NDT sensor for the railhead foot crack detection -2
description the research of convolutional neural networks in computer vision, natural language processing, speech recognition and other fields has made great progress and attracted the attention of researchers from all walks of life. Here we review the development history and working ideas of convolutional neural networks , and analyze applying convolutional neural networks to the problem of fault diagnosis of motor equipment, and hope that the analysis and research in this paper can provide a new viewpoint for the problem of motor equipment fault diagnosis
author2 Zheng Yuanjin
author_facet Zheng Yuanjin
Qin, Yuan
format Final Year Project
author Qin, Yuan
author_sort Qin, Yuan
title Research on NDT sensor for the railhead foot crack detection -2
title_short Research on NDT sensor for the railhead foot crack detection -2
title_full Research on NDT sensor for the railhead foot crack detection -2
title_fullStr Research on NDT sensor for the railhead foot crack detection -2
title_full_unstemmed Research on NDT sensor for the railhead foot crack detection -2
title_sort research on ndt sensor for the railhead foot crack detection -2
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149689
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