期刊
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
卷 39, 期 2, 页码 1157-1170出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13369-013-0632-z
关键词
Elevator vibration; Neural network; Learning algorithm
In spite of advanced electro-mechanical technology on passenger or load elevators, elevator accidents still occur. Therefore, it is necessary to analyze vibrations of elevators with and without load for predicting some possible faults on their mechanical parts. This study proposes an adaptive neural network predictor to estimate and evaluate the vibrations on elevator systems. For this purpose, elevator vibrations are measured from two points of the elevator system for different working conditions, and different types of neural network analyzers are employed to evaluate the system vibrations. Simulation results show that neural networks can be used as an adaptive analyzer for such systems in the experimental applications.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据