The Fault Diagnosis of Elevator Based on the Autoregressive Model and the Support Vector Machine

Abstract

The paper proposed the fault diagnosis of elevator based on the autoregressive(AR) model and the support vector machine. At first, build the AR model with the processing signals. The AR coefficient was used as the input of the support vector machine, the normal condition and the fault condition were used as output. By studying and predicting of the support vector machine(SVM) can reaching automatic identification. This method has high accuracy of diagnosis while resolved the problem of lacking samples.