A Multi-Level-Denoising Autoencoder Approach for Wind Turbine Fault Detection
The effective fault detection of wind turbines (WTs) can greatly help to improve their availability and reduce their operation and maintenance costs. In this context, data-driven fault detection approaches have attracted a lot of interests due to the availability of a large amount of monitoring sens...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8705222/ |