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
张浩伟 1彭乐乐 1郑树彬 1刘波 1张超超 1高昂1
作者信息
- 1. 上海工程技术大学 城市轨道交通学院,上海 201620
- 折叠
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.
Abstract
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-LSTMKey words
air conditioning controller/remaining service life prediction/sample dataset/CNN-LSTM引用本文复制引用
出版年
2024
NETL
NSTL
万方数据