Elevator Brake Fault Diagnosis Based on BP Neural Algorithm

Tongxing Zhang, Zhaojun Zhou, C. Zhou, Yan Zhang, P. Kumar S
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Abstract

BP neural algorithm has been applied in all walks of life in the current era. Since the birth of the elevator, the brake system has developed along with the elevator industry and played an important role in ensuring the safety of the elevator. BP neural algorithm also plays an important role in the process of elevator braking. The braking force generated by the braking system has little relation with the initial braking speed, but is positively correlated with the total mass of the elevator. The braking system based on BP neural algorithm needs to absorb more energy in a short time, so as to produce the braking force which is about to lock the pulley.
基于BP神经算法的电梯制动器故障诊断
BP神经算法在当今时代已经应用于各行各业。自电梯诞生以来,制动系统就随着电梯行业的发展而发展,在保证电梯的安全运行方面起到了重要的作用。BP神经算法在电梯制动过程中也起着重要作用。制动系统产生的制动力与初始制动速度关系不大,而与电梯总质量呈正相关。基于BP神经算法的制动系统需要在短时间内吸收更多的能量,从而产生即将锁住滑轮的制动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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