Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, aleja Adama Mickiewicza 30, 30-059 Kraków, Poland.
Sensors (Basel). 2021 Oct 30;21(21):7245. doi: 10.3390/s21217245.
Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described. The following states of BLDC motors were analyzed: a healthy BLDC motor running at 1450 rpm, a healthy BLDC motor at 2100 rpm, blocked ventilation of the BLDC motor at 1450 rpm, blocked ventilation of the BLDC motor at 2100 rpm, healthy clipper, and blocked ventilation of the clipper. A feature extraction method called the Common Part of Arithmetic Mean of Thermographic Images (CPoAMoTI) was proposed. Test thermal images were analyzed successfully. The developed method, CPoAMoTI is useful for industry and society. Electric cars, trains, fans, clippers, computers, cordless power tools can be diagnosed using the developed method.
BLDC 电机通风的热成像故障诊断描述。分析了 BLDC 电机的以下状态：以 1450rpm 运行的健康 BLDC 电机、以 2100rpm 运行的健康 BLDC 电机、1450rpm 通风堵塞的 BLDC 电机、2100rpm 通风堵塞的 BLDC 电机、健康的理发剪和理发剪通风堵塞。提出了一种称为热成像图像算术平均值公共部分（CPoAMoTI）的特征提取方法。成功分析了测试热图像。开发的方法 CPoAMoTI 对工业和社会很有用。可以使用开发的方法诊断电动汽车、火车、风扇、理发剪、计算机、无绳电动工具等。
