Gearbox fault classification using dictionary sparse based representations of vibration signals-Reference-Cited by-同舟云学术

Gearbox fault classification using dictionary sparse based representations of vibration signals

Published:2018-06-22 Issue:6 Volume:34 Page:3605-3618
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Medina Ruben¹,Alvarez Ximena²,Jadán Diana²,Macancela Jean-Carlo³,Sánchez René–Vinicio³,Cerrada Mariela³

Affiliation:

1. Electrical Engineering School, Universidad de Los Andes, Merida, Venezuela

2. Industrial Engineering Group, Chemical Sciences School, Universidad de Cuenca, Cuenca, Ecuador

3. GIDTEC, Universidad Politécnica Salesiana, Ecuador

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

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4. Outer race defect width measurement in taper roller bearing using discrete wavelet transform of vibration signal;Kumar;Measurement,2013

5. Gear fault diagnosis based on continuous wavelet transform;Zheng;Mechanical Systems and Signal Processing,2002

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3. A sparse feature extraction method based on the shiftinvariable dictionary applied in the diagnosis of gearbox with multiple faults;Journal of Physics: Conference Series;2022-03-01

4. Image Denoising Using Sparse Representation and Principal Component Analysis;International Journal of Image and Graphics;2021-07-17

5. Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions;IEEE Access;2021