摘要
为促进故障预测技术在电梯维保领域的研究,综述了垂直电梯故障预测技术的最新进展和研究成果。根据垂直电梯故障预测实现方式的不同,将其分为基于经验模型的故障预测方法和基于数据驱动的故障预测方法,并对这两类故障预测方法的特点进行分析和总结。针对垂直电梯故障预测技术发展面临的挑战,未来应加强垂直电梯故障机理研究,优化数据处理和特征提取算法,进一步开发具有优良泛化能力和高准确度的故障预测模型。同时,做好全生命周期的高价值数据积累工作,为故障预测模型的持续优化提供坚实基础。
To promote the research of fault prediction technology in the field of elevator maintenance,the latest progress and research achievements of vertical elevator fault prediction technology are summarized.According to the different implementation methods of vertical elevator fault prediction,it is divided into empirical model-based fault prediction methods and data-driven fault prediction methods,and the characteristics of these two fault prediction methods are analyzed and summarized.In response to the challenges faced by the development of vertical elevator fault prediction technology,future research on vertical elevator fault mechanisms should be strengthened,data processing and feature extraction algorithms should be optimized,and fault prediction models with excellent generalization ability and high accuracy should be further developed.At the same time,do a good job in accumulating high-value data throughout the entire life cycle,providing a solid foundation for the continuous optimization of fault prediction models.
作者
闫明明
李宁
唐梓敏
刘智学
YAN Mingming;LI Ning;TANG Zimin;LIU Zhixue(School of Automation Science and Engineering,South China University of Technology,Guangzhou 510641,China;Guangzhou Guangri Elevator Industry Co.,Ltd.,Guangzhou 511447,China)
出处
《自动化与信息工程》
2024年第5期1-9,13,共10页
Automation & Information Engineering
关键词
故障预测
电梯维保
垂直电梯
fault prediction
elevator maintenance
elevator
作者简介
闫明明,男,1991年生,博士研究生,主要研究方向:信号处理、故障预测与健康管理。E-mail:yanmingming@guangri.com.cn;李宁,男,1988年生,博士研究生,工程师,主要研究方向:设备故障预警、轻量化设计。E-mail:lining19880701@163.com;通信作者:唐梓敏,男,1994年生,博士研究生,主要研究方向:控制系统与智能化电梯研发、精密制造。E-mail:813742840@qq.com;刘智学,男,1989年生,博士研究生,主要研究方向:高分子复合材料加工与应用、材料耐用性预测分析。E-mail:zhixue,liu@uq.net.au。
