Bibliographic Details
| Title: |
Machine hearing for predictive maintenance of BLDC motors. |
| Authors: |
Prieto, Rommel Stiward1 (AUTHOR) stiwardprieto@unicauca.edu.co, Bravo Montenegro, Diego Alberto1 (AUTHOR) dibravo@unicauca.edu.co, Rengifo, Carlos2 (AUTHOR) caferen@unicauca.edu.co |
| Source: |
Journal of Quality in Maintenance Engineering. 2024, Vol. 30 Issue 3, p540-561. 22p. |
| Subject Terms: |
*MACHINE learning, *SIGNAL processing, *INTERNET of things, *FEATURE extraction, *PRODUCT management software |
| Abstract: |
Purpose: The purpose of this paper is to approach predictive maintenance (PdM) of brushless direct current (BLDC) motors using audio signal processing and extracting statistical and spectral features to train classical machine learning (ML) models. Design/methodology/approach: The proposed methodology relies on classification predictive model that shows the motors prone to failure. To verify this, the model was implemented and tested with audio data. The trained models are then deployed to an Industrial Internet of Things (IIoT) application built using Django. Findings: The implementation of the methodology allows for achieving performance as high as 92% accuracy, proving that spectral features should be considered when training ML models for PdM. Originality/value: The proposed model is an effective decision-making tool that provides an ideal solution for preventive maintenance scheduling problems for BLDC motors. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal of Quality in Maintenance Engineering is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Complete |
