Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform

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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Bibliographic Details
Main Authors: Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le
Format: Article
Language:English
Published: Publishing House for Science and Technology 2025-07-01
Series:Vietnam Journal of Mechanics
Subjects:
discrete wavelet transform
sensor fusion
embedded machine learning
fault detection
edge computing
Online Access:https://vjs.ac.vn/vjmech/article/view/22277
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