Embedded diagnostic of conveyor belts actuated by induction motors

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Miniatura

Fecha

2019-07

Autores

Arriaga-Méndez, Francisco J.
Mendiola-Meza, Omar F.
Vargas-Mascorro, Eliseo

Título de la revista

ISSN de la revista

Título del volumen

Editor

ITESO

Resumen

Descripción

Frequently, companies with conveyor belts face problems to keep them working as expected. Currently, there are many automatic conveyor failure diagnostic techniques but most of them require complex instrumentation schemes or algorithms. This paper presents a fault diagnostic scheme for conveyor belts actuated by an induction motor. The main features of the solution include the embedded system implementation, the use of a simple and effective algorithm, and a low cost instrumentation. The system retrieves information from a current sensor located in the voltage line of the motor. A series of experiments with different states of the conveyor belt, were performed. Using this data, an algorithm based on statistical indices that detects irregular behaviors, was designed and developed. This proposal is the starting point for a future solution that detects irregularities in the conveyor belt behavior more accurately considering other variables of the system. Also, voltage, speed, and acceleration signals from the induction motor were acquired to characterize the behavior of the conveyor belt. Unfortunately, speed and acceleration signals were not accurate enough to detect any relevant change, this could be due to the low operation speed of the conveyor belt. Perhaps, in a faster conveyor this data can be helpful. Voltage analysis will be considered in future work for environments where supply voltage is not constant.

Palabras clave

Conveyor Belt, AC Motor, Fault Detection, Current Sensor, Voltage Sensor, Encoder

Citación

Arriaga-Méndez, F.J.; Mendiola-Meza, O.F.; Vargas-Mascorro, E. (2019). Embedded diagnostic of conveyor belts actuated by induction motors. Trabajo de obtención de grado, Especialidad en Sistemas Embebidos. Tlaquepaque, Jalisco: ITESO.