Fault Identi fication of Rolling Bearing Based on Adaptive Wavelet Analysis and Multiple Layers Convolution Extreme Learning Auto-encoder
Aiming at the problems of rolling bearing vibration signals were dif ficult to identify due to strong time-varying and strong noisy characteristics, a method based on adaptive wavelet analysis (AWA) and multiple layers convolution extreme learning auto-encoder (MLCELAE) was proposed. Firstly, a new...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Department of Electric Drive for Locomotives
2021-11-01
|
| coleção: | 机车电传动 |
| Assuntos: | |
| Acesso em linha: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.06.015 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|