Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model-Reference-Cited by-同舟云学术

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Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model

Published:2021-12 Issue: Volume:186 Page:110099
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ravikumar K.N.,Yadav Akhilesh,Kumar Hemantha,Gangadharan K.V.,Narasimhadhan A.V.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

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2. A home sleep apnea screening device with time-domain signal processing and autonomous scoring capability;Jin;IEEE Trans. Biomed. Circuits Syst.,2015

3. Time-Domain Signal Analysis Using;Mojiri;Ieee Trans. Signal Process.,2007

4. Parametric time-domain methods for the identification of vibrating structures-a critical comparison and assessment;PETSOUNIS;Mech. Syst. Signal Process.,2001

5. A noise-robust frequency domain technique for estimating planar roto-translations;Lucchese;IEEE Trans. Signal Process.,2000

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