| 基于神经网络技术的电梯动态智能检测系统 |
| |
| 引用本文： | 李屹,张慧慧.基于神经网络技术的电梯动态智能检测系统[J].北京工业大学学报,2010,36(4). |
| |
| 作者姓名： | 李屹 张慧慧 |
| |
| 作者单位： | 北京工业大学机械工程与应用电子技术学院,北京,100124;北京工业大学机械工程与应用电子技术学院,北京,100124 |
| |
| 基金项目： | 北京市科技计划资助项目(Z07050601480701) |
| |
| 摘 要： | 提出了一种基于神经网络技术的电梯动态智能检测系统,它可以长期不间断地采集电梯运行数据并存储.利用最优小波包的理论分析提取轿厢垂直振动加速度信号特征,与水平方向振动信号特征融合建立了BP神经网络模型,实现对电梯急停故障现象的诊断.经验证,该模型能有效判断出电梯急停故障,为特检部门提供了电梯的检测依据.
|
| 关 键 词： | 电梯检测 神经网络 最优小波包 |
Intelligent Elevator Detecting System Based on Neural Network |
| |
| LI Yi,ZHANG Hui-hui.Intelligent Elevator Detecting System Based on Neural Network[J].Journal of Beijing Polytechnic University,2010,36(4). |
| |
| Authors: | LI Yi ZHANG Hui-hui |
| |
| Affiliation: | College of Mechanical Engineering and Applied Electronics Technology;Beijing University of Technology;Beijing 100124;China |
| |
| Abstract: | An intelligent elevator detecting system based on neural network is proposed in this paper.It can collect and store the running data of elevators continuously. Best wavelet packet basis is used to select the features of car's vertical vibration.Along with the horizontal signal features,a BP neural network is made to diagnose the jerk fault.The correction of the model is proved.So the system can provide referential data to the inspectors. |
| |
| Keywords: | elevator detecting neural network best wavelet packet |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
