棉纺织技术2024，Vol.52Issue(1)：13-20,8.
基于能耗参数的细纱机预维护系统设计
Design of pre-maintenance system for spinning frame based on energy consumption parameter
摘要
Abstract
Aiming at the shortcomings of the current spinning frame periodic maintenance methods,a predictive maintenance system based on energy consumption parameters was designed and developed.Sensor technology was utilized in the system to achieve real-time collection of energy consumption data for spinning machines.By comparing the prediction models based on two different neural networks,BP and PSO-BP,a fault prediction model based on PSO-BP neural network was selected to predict the trend of energy consumption parameters changes of spinning frames under different faults.Finally,a pre maintenance system based on energy consumption parameters was developed based on B/S architecture,which realized the predictive maintenance of spinning frame.The results indicated that the system application has optimized the maintenance management of the spinning frame and reduced the maintenance cost of the spinning frame.It is considered that the system can be used to analyze the future running state of spinning frame and to predict the faults of spinning frame.关键词
细纱机/维护管理系统/故障预测/粒子群算法/神经网络Key words
spinning frame/maintenance management system/fault prediction/particle swarm optimization algorithm/neural network分类
轻工业引用本文复制引用
张保威,赵朋磊,王永华,江豪,李鑫,张赛..基于能耗参数的细纱机预维护系统设计[J].棉纺织技术,2024,52(1):13-20,8.基金项目
河南省科技厅科技攻关项目(232102220024) （232102220024）
