Please use this identifier to cite or link to this item:
Title: Research on NDT sensor for the railhead foot crack detection -2
Authors: Qin, Yuan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Qin, Y. (2021). Research on NDT sensor for the railhead foot crack detection -2. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A2376-192
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
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_2021.docx (1).pdf
  Restricted Access
3.23 MBAdobe PDFView/Open

Page view(s)

Updated on May 16, 2022


Updated on May 16, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.