Kurtogram manifold learning and its application to rolling bearing weak signal detection-Reference-Cited by-同舟云学术

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Kurtogram manifold learning and its application to rolling bearing weak signal detection

Published:2018-10 Issue: Volume:127 Page:533-545
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Yi,Tse Peter W.,Tang Baoping,Qin Yi,Deng Lei,Huang Tao

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. An improved exponential model for predicting remaining useful life of rolling element bearings;Li;IEEE Trans. Ind. Electron.,2015

2. Machinery health indicator construction based on convolutional neural networks considering trend burr;Guo;Neurocomputing.,2018

3. Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals;Lu;J. Sound Vib.,2016

4. Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges;Liu;J. Sound Vib.,2017

5. Acoustic based fault diagnosis of three-phase induction motor;Glowacz;Appl. Acoust.,2018

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