神经网络系统在齿轮箱故障模式识别分析的应用
Application of Neural Network System in Gearbox Fault Mode Recognition Analysis
王建斌1
作者信息
- 1. 山西忻州神达大桥沟煤业有限公司,山西 忻州 036500
- 折叠
摘要
为探究齿轮箱故障识别分析准确率的提升路径,结合某型采煤机的行星齿轮箱为案例进行研究,首先通过虚拟样机技术搭建仿真模型,为故障信息提供基础数据;而后以卷积神经网络(CNN)为基础,搭建用于齿轮箱故障模式识别分析的神经网络系统;最后对该系统的性能进行测试.测试结果显示,该系统在故障识别分析准确率方面更具优势,证明其具有潜在应用价值.
Abstract
In order to explore the improvement path of the accuracy of gearbox fault recognition analysis,combined with a certain type of coal mining machine planetary gearbox as a case study,first of all,through the virtual prototype technology to build a simulation model,to provide basic data for the fault information;and then based on the convolutional neural network(CNN),to build a neural network system for the gearbox fault pattern recognition analysis;and finally,to test the performance of the system.Finally,the performance of the system is tested.The test results show that the system is more advantageous in terms of the accuracy of fault recognition and analysis,which proves that it has potential application value.
关键词
神经网络/齿轮箱/故障模式Key words
neural network/gearbox/fault mode引用本文复制引用
出版年
2024
NETL
NSTL
万方数据