柴油发动机数字孪生的应用及实现

Application And Realization of Digital Twin Diesel Engines

数字孪生技术已经成为了工业制造中最新的研究热点之一。本文旨在探讨数字孪生技术在柴油发动机故障诊断方面的应用。首先,本文介绍了数字孪生技术的基本概念和原理,包括模型构建、数据采集和仿真分析等方面。然后,本文详细阐述了数字孪生技术在柴油发动机故障诊断方面的应用,包括基于传感器数据的实时监测、基于复杂模型的故障诊断和预测性维护等方面。最后,本文基于试验数据,通过机器学习算法,实现了对柴油发动机排气温度的预测,可用于基于柴油发动机排气温度的故障诊断。

Digital twin technology has become one of the latest research hot spots in industrial manufacturing.The purpose of this paper is to explore the use of digital twin technology in diesel engine fault diagnosis.First,the paper introduces the basic concepts and principles of digital twin technology,including model building,data acquisition,and simulation analysis.The paper then elaborates on the application of digital twin technology in diesel engine fault diagnosis,including real-time monitoring based on sensor data,complex model-based fault diagnosis and predictive maintenance.Finally,based on test data,the prediction of diesel engine discharge temperature is achieved through machine learning algorithms and can be used for troubleshooting diesel engine discharge temperature based diagnostics.