Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform
This study presents a fault detection model utilizing the Seeed Studio XIAO nRF52840 Sense microcontroller development board to identify and diagnose faults in the conveyor belt system of the MPS-PA Bottling Learning System, a component of the Festo Didactic System. The microcontroller is equipped...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Publishing House for Science and Technology
2025-07-01
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| Series: | Vietnam Journal of Mechanics |
| Subjects: | |
| Online Access: | https://vjs.ac.vn/vjmech/article/view/22277 |
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