新疆钢铁2024,Issue(3) :185-187.DOI:10.20146/j.cnki.1672-4224.2024.03.064

基于小波神经网络的引风机轮毂线缆故障诊断方法

Fault Diagnosis Method for Induced Draft Fan Hub Cable Based on Wavelet Neural Network

赵振宇
新疆钢铁2024,Issue(3) :185-187.DOI:10.20146/j.cnki.1672-4224.2024.03.064

基于小波神经网络的引风机轮毂线缆故障诊断方法

Fault Diagnosis Method for Induced Draft Fan Hub Cable Based on Wavelet Neural Network

赵振宇1
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作者信息

  • 1. 内蒙古大唐国际托克托电厂,内蒙古 呼和浩特 010000
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摘要

传统引风机轮毂线缆故障诊断方法直接对故障特征信息数据进行预处理未对引风机故障特征信息数据进行采集,造成传统方法诊断准确率相对较低.本文基于小波神经网络的引风机轮毂线缆故障诊断方法,收集引风机故障特征信息数据,在数据采集的基础上进行数据预处理,确保数值模拟精确有效,以期能够基于小波神经网络实现引风机轮毂线缆故障诊断.

Abstract

The traditional method for diagnosing hub and cable faults in induced draft fans directly preprocesses the fault char-acteristic information data without collecting the fault characteristic information data,resulting in relatively low diagnostic ac-curacy of the traditional method.This article is based on the fault diagnosis method of induced draft fan hub cable using wave-let neural network.The fault characteristic information data of induced draft fan is collected,and data preprocessing is carried out on the basis of data collection to ensure accurate and effective numerical simulation,in order to achieve fault diagnosis of induced draft fan hub cable based on wavelet neural network.

关键词

小波神经网络/引风机/轮毂线缆故障/故障诊断

Key words

wavelet neural network/induced draft fan/wheel hub cable malfunction/fault diagnosis

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出版年

2024
新疆钢铁
新疆维吾尔自治区金属学会

新疆钢铁

影响因子:0.081
ISSN:1672-4224
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