电梯异常振动的连续小波变换分析

陈建勋, 陈达安

特种设备学报 ›› 2026, Vol. 1 ›› Issue (2) : 40-44.

特种设备学报 ›› 2026, Vol. 1 ›› Issue (2) : 40-44. DOI: 10.27022/j.issn2097-7697.2026.02.006
试验研究

电梯异常振动的连续小波变换分析

  • 陈建勋1,2, 陈达安3
作者信息 +

Continuous Wavelet Transform Analysis of Elevator Abnormal Vibration

  • CHEN Jianxun1,2, CHEN Da'an3
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文章历史 +

摘要

振动测量与分析是进行电梯隐患或故障排查、运行舒适度评估的重要手段。介绍了可进行信号时频分析的连续小波变换(Continuous Wavelet Transform,CWT)及其逆变换计算方法、电梯轿厢三轴振动数据采集方法。将CWT计算出的小波变换系数绘制出二维云图,对轿厢垂直振动和水平振动不符合标准要求的2台曳引驱动电梯进行了时频分析。结果表明,通过CWT可直观判断出电梯异常振动的加速度随频率和时间的变化规律,实现了电梯曳引系统和导向系统等异常振动源和隐患位置的快速定位。

Abstract

Vibration measurement and analysis are important means for identifying hidden dangers or faults in elevators and evaluating riding comfort. The continuous wavelet transform (CWT) and its corresponding inverse transformation calculation method for signal time-frequency analysis, the three-axis vibration data acquisition method for elevator car vibration were introduced. The wavelet transform coefficients calculated by CWT were visualized as two-dimensional contour maps, and time-frequency analysis was performed on two traction-driven elevators whose vertical and horizontal vibrations of the elevator car failed to meet standard requirements. The results show that the variation law of the acceleration of elevator abnormal vibration with frequency and time can be judged intuitively by CWT, and the rapid location of abnormal vibration sources and hidden dangers such as elevator traction system and guidance system can be realized. 

关键词

电梯 / 振动 / 连续小波变换 / 时频分析 / 加速度传感器

Key words

Elevator / Vibration / Continuous wavelet transform / Time-frequency analysis / Acceleration sensor

引用本文

导出引用
陈建勋, 陈达安. 电梯异常振动的连续小波变换分析[J]. 特种设备学报, 2026, 1(2): 40-44. https://doi.org/10.27022/j.issn2097-7697.2026.02.006
CHEN Jianxun, CHEN Da'an. Continuous Wavelet Transform Analysis of Elevator Abnormal Vibration[J].Journal of Special Equipment, 2026, 1(2): 40-44. https://doi.org/10.27022/j.issn2097-7697.2026.02.006
中图分类号: X941   

参考文献

[1] GB/T 24474.1—2020 乘运质量测量 第1部分:电梯[S].
[2] GB/T 10058—2023 电梯技术条件[S].
[3] 李从跃,胡以怀,沈威,等.基于小波变换和CNN的船用机械故障诊断[J].中国测试,2024,50(3):183-192.
[4] 何鹏飞,黄国勇,阮爱国.基于连续小波变换和模型无关元学习的压燃式活塞发动机气门故障诊断研究[J].内燃机工程,2024,45(1):57-63.
[5] 纪少波,姜颖,尹伟,等.机体振动信号时频特性与燃烧压力相关性分析[J].哈尔滨工程大学学报,2024,45(10):1958-1964.
[6] 杨松立,魏亚,叶周景,等.车辆荷载激励下的水泥混凝土路面振动信号时频能量解析及车速估算[J].中国公路学报,2024,37(12):310-325.
[7] 张雨晨.频域增强信号提取算法在光纤地震检波中的应用研究[D].盐城:盐城工学院,2024.
[8] 罗聪,鲁进,钱琼.基于小波变换和残差神经网络的全盲频谱感知方法[J].电讯技术,2023,63(6):775-780.
[9] GB/T 23716—2009 人体对振动的响应 测量仪器[S].
[10] GB/T 10060—2023 电梯安装验收规范[S].

基金

广东省特种设备检测研究院科技计划项目“云边端协同的电梯振动故障现场智能诊断方法研究及仪器研制”(2025JD-2-03)

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