Dataset of audio signals from brushless DC motors for predictive maintenance.

ABSTRACT: Predictive Maintenance (PdM) has a main role in the Fourth Industrial Revolution; its goal is to design models that can safely detect failure in systems before they fail, aiming to reduce financial, environmental, and operational costs. A brushless DC (BLDC) electric motors have increasingly become more popular and been gaining popularity in industrial applications, so their analysis for PdM applications is only a natural progression; audio analysis proves to be a useful method to achieve this and rises as a very pragmatic case of study of the characteristics of the motors. The main goal of this paper is to showcase sound-based behavior of BLDC motors in different failure modes as result of an experiment led by researchers at Universidad del Cauca in Colombia. This dataset ma

SUBMITTER: Prieto Estacio RS 

PROVIDER: S-EPMC10539630 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature