Few-Shot Fault Diagnosis of Rolling Bearing Under Variable Working Conditions Based on Ensemble Meta-Learning-Reference-Cited by-同舟云学术

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Few-Shot Fault Diagnosis of Rolling Bearing Under Variable Working Conditions Based on Ensemble Meta-Learning

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Che Changchang,Wang Huawei,Xiong Minglan,Ni Xiaomei

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference31 articles.

1. Variable spectral segmentation empirical wavelet transform for noisy signal processing;K Zhang;Digital Signal Processing,2021

2. Permutation entropy-based improved uniform phase empirical mode decomposition for mechanical fault diagnosis;W Ying;Digital Signal Processing,2021

3. Intelligent fault diagnosis method of common rail injector based on composite hierarchical dispersion entropy and improved least squares support vector machine;Y Ke;Digital Signal Processing,2021

4. Gas path component fault diagnosis of an industrial gas turbine under different load condition using online sequential extreme learning machine;M Montazeri-Gh;Engineering Failure Analysis,2022

5. Cascaded fault detection system of error back-propagation network based on node association degree;F Yin;Computer Communications,2021

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