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https://hdl.handle.net/10356/149689
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qin, Yuan | en_US |
dc.date.accessioned | 2021-06-07T11:54:57Z | - |
dc.date.available | 2021-06-07T11:54:57Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | 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 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/149689 | - |
dc.description.abstract | 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 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.relation | A2376-192 | en_US |
dc.subject | Engineering::Electrical and electronic engineering | en_US |
dc.title | Research on NDT sensor for the railhead foot crack detection -2 | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Zheng Yuanjin | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Electrical and Electronic Engineering) | en_US |
dc.contributor.supervisoremail | YJZHENG@ntu.edu.sg | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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FYP_2021.docx (1).pdf Restricted Access | 3.23 MB | Adobe PDF | View/Open |
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