Name
Abstract | ||
|---|---|---|
A Convolutional Neural Network is a deep learning model that is an active research topic and is being applied extensively to analyse vibration data for condition monitoring. However, existing CNN architectures for automated fault diagnosis have some limitations, such having too few layers or converting the raw vibration data into a two-dimensional form, etc. To address these limitations, this pape... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/ICAC50006.2021.9594171 | 2021 26th International Conference on Automation and Computing (ICAC) |
Keywords | DocType | ISBN |
Vibrations,Fault diagnosis,Condition monitoring,Time series analysis,Computer architecture,Feature extraction,Nonhomogeneous media | Conference | 978-1-86043-557-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ibrahim Alqatawneh | 1 | 0 | 1.01 |
| Rongfeng Deng | 2 | 0 | 0.34 |
| Khalid Rabeyee | 3 | 0 | 1.01 |
| Zhang Chao | 4 | 87 | 24.26 |
| Fengshou Gu | 5 | 23 | 23.43 |
| Andrew Ball | 6 | 72 | 17.29 |