Embedded Diagnostics of Conveyor Belts Actuated by Induction Motors
| Autor: | Francisco Javier Arriaga-Mendez, Eliseo Vargas-Mascorro, Luis E. González-Jiménez, Omar Felipe Mendiola-Meza |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Computer science 020208 electrical & electronic engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering Conveyor belt 02 engineering and technology Fault (power engineering) AC motor Fault detection and isolation 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Current sensor Instrumentation (computer programming) Electrical and Electronic Engineering Encoder Induction motor |
| Zdroj: | IEEE Latin America Transactions. 19:107-114 |
| ISSN: | 1548-0992 |
| Popis: | 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 system retrieves information from a current sensor and a voltage sensor located in the input line of the motor to detect irregular behaviors with an algorithm based on statistic indices. The main features of the solution are: non-invasive for a pre-existing conveyor, embedded implementation, simple and effective algorithm, and low cost instrumentation. This proposal is the starting point for a more complex solution that detects irregularities more accurately using more variables of the system in future work. |
| Databáze: | OpenAIRE |
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