基于数据驱动模型的水下隧道机电设备寿命预测应用研究  

Application Research on Life Prediction of Underwater Tunnel Electromechanical Equipment based on Data-driven Model

作　　者：孙晓军 方忠强 张明 丁闪闪 刁含楼 刘毅 Sun Xiaojun;Fang Zhongqiang;Zhang Ming;Ding Shanshan;Diao Hanlou;Liu Yi

机构地区：[1]无锡市城市重点建设项目管理中心,江苏无锡214000 [2]华设设计集团股份有限公司,江苏南京210000

出　　处：《时代汽车》2025年第5期16-18,共3页Auto Time

摘　　要：为保证机电设备在隧道环境中高可靠性条件下运行,同时避免过度维护导致的资源浪费,本文通过研究数据驱动模型的方式,采集产品的失效数据、退化数据,并基于统计、退化、可靠性函数综合预测机电设备物理寿命和经济寿命的研究。同时构建隧道机电综合管理平台,实现水下隧道机电设备寿命预测应用。In order to ensure that electromechanical equipment operates under high reliability conditions in the tunnel environment and avoid the waste of resources caused by excessive maintenance,this paper collects the failure data and degradation data of products by studying the data-driven model,and predicts the physical life and economic life of electromechanical equipment based on statistics,degradation and reliability functions.At the same time,the tunnel electromechanical integrated management platform is built to realize the application of life prediction of underwater tunnel electromechanical equipment.

关 键 词：隧道机电设备 寿命预测 

分 类 号：U45[建筑科学—桥梁与隧道工程]