基于多传感器的在线油液故障诊断模型建模研究  

Research on Modeling of Online Oil Fault Diagnosis Model Based on Multi-sensor

作　　者：金刚 刘志明 武轶凡 郑东海 曹凤杰 丁泽宇 Jin Gang;Liu Zhiming;Wu Yifan;Zheng Donghai;Cao Fengjie;Ding Zeyu(CCTEG Information Technology Co.,Ltd.,Xi’an 710054,China;School of Mechanical and Electronic Engineering,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]中煤科工集团信息技术有限公司,西安710054 [2]山东科技大学机械电子工程学院,山东青岛266590

出　　处：《煤矿机械》2024年第8期187-190,共4页Coal Mine Machinery

摘　　要：以齿轮箱故障模拟实验台为基础,对不同类型的齿轮箱故障进行模拟,利用远程油液在线监测系统进行油液特征信息数据采集,构建基于BP神经网络的在线油液故障诊断模型。进一步利用所采集的数据集对故障诊断模型进行训练、优化,从而建立基于远程油液在线监测系统的多传感器故障诊断模型。Based on the gearbox fault simulation experimental platform,different types of gearbox faults were simulated,and oil characteristic information data was collected by using the remote oil online monitoring system.An online oil fault diagnosis model based on the BP neural network was constructed.Further,the oil characteristic information dataset collected was used to train and optimize the fault diagnosis model,thus established a multi-sensor fault diagnosis model based on the remote oil online monitoring system.

关 键 词：油液监测 故障模式 BP神经网络 

分 类 号：TH132.46[机械工程—机械制造及自动化]