Work

A Literature Review: Bearing Fault in BLDC Motor Based on Vibration and Thermal Signals

Year: 2025

Type: article

Abstract: This review of the literature looks into the use of vibration and thermal signals for the diagnosis and detection of bearing problems in brushless DC (BLDC) motors. The study highlights the efficacy of current developments in diagnostic algorithms and signal processing approaches in detecting bearing irregularities. The comparative study of vibration and heat monitoring techniques is highlighted, along with a discussion of each method's benefits and drawbacks. The integration of various methods for improved fault detection accuracy is also examined in the paper. The results indicate that a hybrid strategy that combines temperature analysis and vibration provides a reliable way to identify BLDC motor problems early on, which could enhance maintenance plans and operational dependability.

Source: Journal of Electrical Electronic Information and Communication Technology

DOI: 10.20961/jeeict.7.1.100165

Authors: Meiyanto Eko Sulistyo, Didik Djoko Susilo, Muhammad Nizam, Ubaidillah Ubaidillah

Institution: Sebelas Maret University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Universitas Sebelas Maret

Award: G8457302335