Anomalies Classification in Fan Systems Using Dual-Branch Neural Networks with Continuous Wavelet Transform Layers: An Experimental Study
In this study, anomalies in a fan system were classified using a real measurement setup to simulate mechanical anomalies such as blade detachment or debris accumulation. Data were collected under normal operating conditions and with an added unbalancing mass. Additionally, sensor anomalies were intr...
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| 格式: | Article |
| 語言: | English |
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MDPI AG
2025-01-01
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| 叢編: | Information |
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| 在線閱讀: | https://www.mdpi.com/2078-2489/16/2/71 |