Online Anomaly Detection of Brushless DC Motor Using Current Monitoring Technique

摘要

Brushless DC (BLDC) motor fan is one of the most widely used electronic components for thermal management. Failures of fans will cause seriously problems, such as overheat, shut down and even burnt, in their host systems. Thus, anomaly detection of fan gains increasing attention. This paper investigates into anomaly detection of generalized-roughness bearing faults in BLDC motor fan using current monitoring technique. In the experiment, it was found that there were about 9% changes in current and rotary speed of fan when the BLDC motor behaved unusual. Mathematical modeling of BLDC motor and physics-of-failure analysis were employed to explain the experimental findings.