基于数据分析的焦炉机械故障预测与诊断系统研究  

Research on Prediction and Diagnosis System of Coke Oven Mechanical Fault Based on Data Analysis

作　　者：张博 薛天英 ZHANG Bo;XUE Tianying(Tangshan Jiahua Coal Chemical Industry Co.,Ltd.,Tangshan 063000)

机构地区：[1]唐山佳华煤化工有限公司,唐山063000

出　　处：《现代制造技术与装备》2025年第3期45-48,共4页Modern Manufacturing Technology and Equipment

摘　　要：为了提升焦炉机械故障预测与诊断的准确性与实时性,设计基于数据分析的故障预测与诊断系统。该系统采用双中央处理器(Central Processing Unit,CPU)架构,包含数据采集、处理器、输入输出及通信模块。通过传感器获取设备运行数据并进行数字化处理,然后使用深度学习模型来实时分析设备状态并预警潜在故障。实验结果表明,该系统具有较高的预测准确性和较强的故障诊断能力。In order to improve the accuracy and real-time performance of coke oven mechanical fault prediction and diagnosis,a fault prediction and diagnosis system based on data analysis is designed.The system adopts dual Central Processing Unit(CPU)architecture,including data acquisition,processor,input and output and communication modules.Device operation data is acquired and digitized through sensors,and then deep learning models are used to analyze device status in real time and warn of potential failures.The experimental results show that the system has high prediction accuracy and strong fault diagnosis ability.

关 键 词：焦炉机械 故障预测 故障诊断 数据分析 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]