SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT
The Industrial Internet of Things (IIoT) has revolutionized the industrial sector by integrating sensors to monitor equipment health and optimize production processes. These sensors collect real-time data and are prone to a variety of different faults, such as bias, drift, noise, gain, spike, and co...
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| Main Authors: | Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11037229/ |
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