The Prediction of the Elevator Fault Based on Improved PSO-BP Algorithm

Author:

Bai Dingsong,An Ziliang,Wang Ning,Liu Shaofeng,Yu Xintong

Abstract

Abstract In accordance with the problem of worst at the convergence of BP Neural Network, the elevator fault-prediction-model is proposed based on Improved PSO-BP Algorithm in this paper. The method uses mathematical operation mechanism to analyze the characteristic be studied. Then the prediction model of elevator fault based on the Improved PSO-BP Algorithm is established. This paper tests the same data by using different elevator fault prediction models. The experimental results show that the method has higher accuracy and convergence. This paper provides a method of fault prediction elevator reliability.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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1. Research on Distributed Fault Diagnosis Model of Elevator Based on PCA-LSTM;Algorithms;2024-06-07

2. Elevator Group Usage Risk Assessment Model using IoT Platform Information;2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2022-06-17

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