[1]苏万斌,吕焕培,吴民忠,等.基于轴承热通量的高速电梯曳引机主轴智能监测方法研究[J].机械与电子,2025,(12):72-80.
　SU Wanbin,LYU Huanpei,WU Minzhong,et al.Study on Intelligent Monitoring Method for Main Shaft of High-speed Elevator Traction Machine Based on Bearing Heat Flux[J].Machinery & Electronics,2025,(12):72-80.
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基于轴承热通量的高速电梯曳引机主轴智能监测方法研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年12期
页码:
72-80
栏目:
机电一体化
出版日期:
2025-12-23

文章信息/Info

Title:
Study on Intelligent Monitoring Method for Main Shaft of High-speed Elevator Traction Machine Based on Bearing Heat Flux
文章编号:
1001-2257 ( 2025 ) 12-0073-08
作者:
苏万斌 1 ; 吕焕培 2 ; 吴民忠 1 ; 张国斌 1 ; 徐正平 1 ; 江叶峰 1
1. 嘉兴市特种设备检验检测院,浙江 嘉兴 314050 ;
2. 宁波财经学院数字技术与工程学院,浙江 宁波 315175
Author(s):
SU Wanbin1 ;  LYU Huanpei2 ;  WU Minzhong1 ;  ZHANG Guobin1 ;  XU Zhengping1 ;  JIANG Yefeng1
( 1.Jiaxing Special Equipment Inspection and Testing Institute , Jiaxing 314050 , China ;
2.College of Digital Technology Engineering , Ningbo University of Finance & Economics , Ningbo 315175 , China )
关键词:
高速电梯曳引机主轴; 数字模型; 轴承热通量; 小波变换;  YOLOv11
Keywords:
high-speed elevator traction machine spindle ;  digital model ;  bearing heat flux ;  wavelet transform ;  YOLOv11
分类号:
TU857 ;TP391
文献标志码:
A
摘要:
针对高速电梯曳引机主轴变形监测问题,提出了一种基于轴承热通量的主轴监测方法。首先通过构建高速电梯曳引机主轴数字模型,分析研究了主轴弯曲变形对轴承瞬时最大通量的影响,并获取了曳引机主轴不同变形量和转速下的热通量值。其次通过应用小波变换和 YOLOv11 模型,构建了基于轴承瞬时最大热通量的主轴运行实时监测模型,实现了对曳引机主轴弯曲变形情况实时有效的监测,确保高速电梯曳引机主轴的安全稳定运行。
Abstract:
To address the issue of spindle deformation monitoring in high-speed elevator traction machines , a spindle monitoring method based on bearing heat flux is proposed.Firstly , a digital model of the high-speed elevator traction machine spindle is established to analyze the influence of spindle bending deformation on the instantaneous maximum heat flux of bearings.Heat flux values under different spindle deformation levels and rotational speeds are obtained.Secondly , by applying wavelet transform and the YOLOv11 model , a real-time spindle operation monitoring model based on instantaneous maximum bearing heat flux is constructed.This model achieves real-time and effective monitoring of spindle bending deformation conditions , ensuring the safe and stable operation of the high-speed elevator traction machine spindle.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2025-08-14
基金项目:浙江省市场监督管理局科技计划项目( ZC2023081 );浙江省自然科学基金资助项目( LTGG24E050002 );浙江省“尖兵领雁 +X ”科技计划项目( 2025C02007 )
作者简介:苏万斌 ( 1972- ),男,江西上饶人,高级工程师,研究方向为机电类特种设备检验;吕焕培 ( 1984- ),男,浙江余姚人,博士,副教授,研究方向为机器人与智能装备。
更新日期/Last Update: 2026-01-05