Crack detection of plastic gears using a convolutional neural network pre-learned from images of meshing vibration data with transfer learning-Reference-Cited by-同舟云学术

Crack detection of plastic gears using a convolutional neural network pre-learned from images of meshing vibration data with transfer learning

Published:2019-08-21 Issue:3 Volume:83 Page:645-653
ISSN:0015-7899
Container-title:Forschung im Ingenieurwesen
language:en
Short-container-title:Forsch Ingenieurwes

Author:

Kien B. H.^ORCID,Iba D.,Ishii Y.,Tsutsui Y.,Miura N.,Iizuka T.,Masuda A.,Sone A.,Moriwaki I.

Funder

Grants-in-aid for Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10010-019-00354-5.pdf

Reference13 articles.

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2. Elmquist JL (2014) Deciding when to go plastic. Gear Technol July:46–47

3. Ishii Y, Iba D, Miyamoto S, Miura N, Iizuka T, Masuda A, Sone A, Moriwaki I (2018) Automatic acquisition system of meshing vibration data and image pictures of crack propagation. In: Proceedings of the machine design and tribology division meeting in JSME (in Japanese)

4. Lüftl S, Visakh PM, Chandran S (2014) Polyoxymethylen handbook, 4th edn. Scrivener Publishing, Beverly

5. Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J, Chen T (2018) Recent advances in convolutional neural networks. Pattern Recognit 77:354–377

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