首页|机器学习辅助柔性传感器在轴承智能监测中的应用进展

机器学习辅助柔性传感器在轴承智能监测中的应用进展

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对轴承的传统监测方法受限于外部电源且布线复杂,增加了安装和维护的难度,难以适应狭小或恶劣的环境.柔性传感器和机器学习相结合的新技术,显著提升了轴承智能监测的灵活性、准确性和实时性,为轴承智能监测提供了新的解决方案.本文总结了基于机器学习和柔性传感器在轴承智能监测中的研究进展,从柔性传感器工作原理、结构设计、机器学习等方面展开,阐述轴承智能监测的重要性,分析轴承智能监测技术的发展动态,探讨基于柔性传感器的智能轴承发展趋势,有助于提升轴承智能化监测水平.
Research Progress of Machine Learning-Assisted Flexible Sensors in Intelligent Bearing Monitoring
Traditional bearing monitoring methods are constrained by external power sources and complex wiring,increasing installation and maintenance difficulties and rendering them unsuitable for confined or harsh environments.The emerging technology combining flexible sensors and machine learning has significantly enhanced the flexibility,accuracy,and real-time performance of intelligent bearing monitoring,providing novel solutions for bearing monitoring.This paper summarizes the research progress of machine learning and flexible sensors in intelligent bearing monitoring,exploring the working principles of flexible sensors,structural design,and machine learning approaches.It elucidates the significance of intelligent bearing monitoring,analyzes the technological developments in bearing monitoring,and discusses the development trends of intelligent bearings based on flexible sensors,aiming to improve the level of intelligent bearing monitoring.

BearingFlexible sensorMachine learningIntelligent monitoring

董文涛、张明广、黄永安

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华东交通大学电气与自动化工程学院,南昌 330013

华中科技大学智能制造装备与技术全国重点实验室,武汉 430074

轴承 柔性传感器 机器学习 智能监测

2024

微处理机
中国电子科技集团公司第四十七研究所

微处理机

影响因子:0.183
ISSN:1002-2279
年,卷(期):2024.45(6)