Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

作     者：Jingyan XIA Ruyi HUANG Yixiao LIAO Jipu LI Zhuyun CHEN Weihua LI Jingyan XIA;Ruyi HUANG;Yixiao LIAO;Jipu LI;Zhuyun CHEN;Weihua LI

作者机构：School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou 510641China Shien-Ming Wu School of Intelligent EngineeringSouth China University of TechnologyGuangzhou 511442China Guangdong Artificial Intelligence and Digital Economy Laboratory(Guangzhou)Guangzhou 510335China 

出 版 物：《机械工程前沿:英文版》 (Frontiers of Mechanical Engineering)

年 卷 期：2023年第18卷第2期

页      面：283-296页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：supported in part by the National Key R&D Program of China(Grant No.2018YFB1702400) the National Natural Science Foundation of China(Grant Nos.52275111,52205100,and 52205101) the Guangdong Basic and Applied Basic Research Foundation,China(Grant Nos.2021A1515110708 and 2023A1515012856) 

主　　题：digital twin gearbox model construction model updating physical-virtual interaction 

摘      要：One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerous labeled training datasets to achieve satisfactory *** training data using a virtual model is a potential solution for addressing such a problem,and the construction of a high-fidelity virtual model is fundamental and critical for data *** this study,a digital twin-assisted dynamic model updating method for fault diagnosis is thus proposed to improve the fidelity and reliability of a virtual model,which can enhance the generated data ***,a virtual model is established to mirror the vibration response of a physical entity using a dynamic modeling ***,the modeling method is validated through a frequency analysis of the generated ***,based on the signal similarity indicator,a physical–virtual signal interaction method is proposed to dynamically update the virtual model in which parameter sensitivity analysis,surrogate technique,and optimization algorithm are applied to increase the efficiency during the model ***,the proposed method is successfully applied to the dynamic model updating of a single-stage helical gearbox;the virtual data generated by this model can be used for gear fault diagnosis.