微型电脑应用2026，Vol.42Issue(4)：124-128,5.
基于状态修数字模型的神华货车故障诊断
Fault Diagnosis for Shenhua Trucks Based on State Repair Digital Model
摘要
Abstract
In order to solve the problems of over-repair and under-repair in train trucks maintenance,this study proposes a fault diagnosis method for trucks based on state repair digital model.The proposed method applies high-speed radio frequency doc-king mobile pass-through detection,which can quickly transmit sensor information when the train passes by.Using 3D infrared structured light to construct image model,data collection of high-speed trains is realized.An improved Kalman filter is intro-duced to construct a sensor data calculation model,aiming at the problem of the difference between the freight volume and the vehicle shape,weight changes are added to the neural network model to jointly form the state repair digital model.In the simu-lation experiment,the method of first inputting positive samples and then mixed samples is used to achieve a correct fault diag-nosis rate of 97％.The proposed system can achieve 8％economic benefit in about 10 years of investment.关键词
状态修数字模型/移动通过式检测/改进型卡尔曼滤波/货车故障诊断Key words
state repair digital model/mobile pass through detection/improved Kalman filter/fault diagnosis for trucks分类
信息技术与安全科学引用本文复制引用
卢宇星,李辰..基于状态修数字模型的神华货车故障诊断[J].微型电脑应用,2026,42(4):124-128,5.基金项目
神华重载铁路货车状态检修成套技术研究及装备研制(SHGF-17-56-10) （SHGF-17-56-10）
