多传感器信息融合技术在电机故障诊断中的应用研究  

Research on the Application of Multi-Sensor Information Fusion Technology in Motor Fault Diagnosis

作　　者：蒋海燕 JIANG Haiyan(Hengyang Preschool Normal College,Hengyang,Hunan Province,421001 China)

机构地区：[1]衡阳幼儿师范高等专科学校,湖南衡阳421001

出　　处：《科技资讯》2024年第12期71-73,共3页Science & Technology Information

摘　　要：随着电机技术的不断发展,电机故障诊断技术也面临着新的挑战和机遇。其中,传统的电机故障诊断,基于单参数、单特征的电机故障诊断方法,往往在诊断过程中存在不确定性问题,这难以保证诊断的精确度。因此,主要研究多传感器信息融合技术在电机故障诊断中的应用,旨在通过综合多个传感器的信息,提高诊断的准确性和可靠性。With the continuous development of motor technology,motor fault diagnosis technology is also facing new challenges and opportunities.In traditional motor fault diagnosis,the motor fault diagnosis method based on a single parameter and a single feature often has uncertainty in the diagnosis process,which is difficult to ensure the accuracy of diagnosis.Therefore,this paper mainly studies the application of multi-sensor information fusion tech-nology in motor fault diagnosis,aiming to improve the accuracy and reliability of diagnosis by synthesizing the in-formation of multiple sensors.

关 键 词：多传感器 信息融合技术 电机故障 诊断方法 

分 类 号：TM307[电气工程—电机]