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
蒋海燕1
作者信息
- 1. 衡阳幼儿师范高等专科学校 湖南衡阳 421001
- 折叠
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.
Abstract
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Key words
Multisensor/Information fusion technology/Motor failure/Diagnostic method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据