In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train ...In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment.A virtual sample generation solution based on Generative Adversarial Network(GAN)is proposed to overcome this shortcoming.Aiming at augmenting the sample classes with the imbalanced data problem,the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction models.Under the PHM framework of the on-board train control system,the virtual sample generation principle and the detailed procedures are presented.With the enhanced class-balancing mechanism and the designed sample augmentation logic,the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle status.Practical data from a specific type of on-board train control system is employed for the validation of the presented solution.The comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance(CBM)operations.展开更多
列车网络控制系统(Train Control and Management System,TCMS)是利用网络技术将机车各控制设备连接在一起,设立主控设备,进行统一控制和信息共享,是机车的信息通信核心。HXD3CA型机车TCMS系统以东芝成熟的列车通信网络技术为基础,结合...列车网络控制系统(Train Control and Management System,TCMS)是利用网络技术将机车各控制设备连接在一起,设立主控设备,进行统一控制和信息共享,是机车的信息通信核心。HXD3CA型机车TCMS系统以东芝成熟的列车通信网络技术为基础,结合国际标准的列车通信网络(TCN)开发研制而成。HXD3CA型机车TCMS系统地面试验平台(以下简称TCMS试验平台)用于备品备件测试,岗位员工培训,故障现象再现。本文主要介绍了TCMS试验平台的构建过程和各种模拟器硬件实现方法。展开更多
基金supported by National Natural Science Foundation of China(U2268206,T2222015)Beijing Natural Science Foundation(4232031)+1 种基金Key Fields Project of DEGP(2021ZDZX1110)Shenzhen Science and Technology Program(CJGJZD20220517141801004).
文摘In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment.A virtual sample generation solution based on Generative Adversarial Network(GAN)is proposed to overcome this shortcoming.Aiming at augmenting the sample classes with the imbalanced data problem,the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction models.Under the PHM framework of the on-board train control system,the virtual sample generation principle and the detailed procedures are presented.With the enhanced class-balancing mechanism and the designed sample augmentation logic,the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle status.Practical data from a specific type of on-board train control system is employed for the validation of the presented solution.The comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance(CBM)operations.
文摘列车网络控制系统(Train Control and Management System,TCMS)是利用网络技术将机车各控制设备连接在一起,设立主控设备,进行统一控制和信息共享,是机车的信息通信核心。HXD3CA型机车TCMS系统以东芝成熟的列车通信网络技术为基础,结合国际标准的列车通信网络(TCN)开发研制而成。HXD3CA型机车TCMS系统地面试验平台(以下简称TCMS试验平台)用于备品备件测试,岗位员工培训,故障现象再现。本文主要介绍了TCMS试验平台的构建过程和各种模拟器硬件实现方法。
