基于LS-SVM的电梯制动器故障诊断

Fault Diagnosis of Elevator Brake Based on LS-SVM

摘要: 根据电梯制动器故障的特点,提出了一种基于最小二乘支持向量机(LS-SVM)的电梯制动器故障诊断方法。该方法通过检测制动器制动过程中闸瓦间隙信号,采用小波包分析提取的故障信号特征,同时利用LS-SVM实现电梯制动器的故障诊断。实验结果表明,该方法能准确地诊断制动系统的故障,有效地避免了事故的发生。

Abstract: According to fault features of elevator brake,the paper put forward a fault diagnosis method of elevator brake based on LS-SVM.The method can detect signal of brake clearance of elevator brake in brake process and extract feature vectors of fault signal by use of wavelet packet analysis,and then realize faults diagnosis of elevator brake with(LS-SVM.) The experiment results showed that the method can diagnose fault of braking system incorrectly and avoid fault effectively.