基于CNN-LSTM的地铁空调控制器剩余使用寿命预测分析  

Analysis of Remaining Service Life Prediction of Subway Air Conditioning Controller Based on CNN-LSTM

作　　者：张浩伟 彭乐乐 郑树彬[1] 刘波 张超超 高昂 ZHANG Haowei;PENG Lele;ZHENG Shubin;LIU Bo;ZHANG Chaochao;GAO Ang(School of Urban Rail Transit,Shanghai University of Engineering and Technology,Shanghai 201620,China)

机构地区：[1]上海工程技术大学城市轨道交通学院,上海201620

出　　处：《集成电路应用》2024年第6期402-403,共2页Application of IC

摘　　要：阐述综合考虑地铁空调控制器的特点,构建基于功能层及经济层的空调控制器样本数据集,通过建立CNN-LSTM模型对空调控制器的剩余使用寿命进行预测。实验结果表明,该预测模型准确度较高。This paper describes the comprehensive consideration of the characteristics of subway air conditioning controllers,and constructs a sample dataset of air conditioning controllers based on functional and economic layers.By establishing a CNN-LSTM model,it predicts the remaining service life of the air conditioning controller.The experimental results indicate that the prediction model has high accuracy.

关 键 词：空调控制器 剩余使用寿命预测 样本数据集 CNN-LSTM 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]