Fault diagnosis method for disc slitting machine based on wavelet packet transform and support vector machine-Reference-Cited by-同舟云学术

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Fault diagnosis method for disc slitting machine based on wavelet packet transform and support vector machine

Published:2020-08-13 Issue:10-11 Volume:33 Page:1118-1128
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Zhu Yiwei¹,Yan Qiusheng¹,Lu Jiabin¹

Affiliation:

1. Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

the Science and Technology Planning Projects of Guangzhou

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2020.1795927

Reference27 articles.

1. Online handwriting recognition with support vector machines - a kernel approach

2. A routine for parameter optimization using an accelerated grid-search method

3. Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

4. Real-time capability analysis for switch industrial Ethernet traffic priority-based

5. Signal processing and compression with wavelet packets

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