Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance

被引：137

作者：

Aivaliotis, P. ^{[1
]}

Georgoulias, K. ^{[1
]}

Arkouli, Z. ^{[1
]}

Makris, S. ^{[1
]}

机构：

[1] Univ Patras, Lab Mfg Syst & Automat, Rion 26504, Greece

来源：

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷

基金：

欧盟地平线“2020”;

关键词：

Digital Twin; physics-based modelling; predictive maintenance;

D O I：

10.1016/j.procir.2019.03.072

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a methodology for advanced physics-based modeling aiming to enable the Digital Twin (DT) concept in predictive maintenance applications. The proposed methodology consists of two main pillars; Digital model creation and Digital Twin enabling. Following this procedure, which is analyzed in the paper, the user is able to define, create and utilize the digital model of a resource, as well as to enable the DT concept. A digital model of an industrial robot was created aiming to validate the proposed methodology which can be utilized potentially in predictive maintenance applications. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：417 / 422

页数：6

共 22 条

[1]

Aivaliotis P, PREDICTIVE MAINTENAN, P1

[2]

Aivaliotis P, 2017, 23 ICE IEEE INT TECH, P1284

[3]

[Anonymous], 2013, P 54 AIAA ASME ASCE

[4]

[Anonymous], 2006, Manufacturing systems: theory and practice, DOI [10.1007/s10344-004-0044-1, DOI 10.1007/S10344-004-0044-1]

[5] Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data [J].

Bazilevs, Y. ;

Deng, X. ;

Korobenko, A. ;

di Scalea, F. Lanza ;

Todd, M. D. ;

Taylor, S. G. .

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 2015, 82 (09)

[6]

Glaessgen E., 2012, 53 AIAA ASME ASCE AH, DOI DOI 10.2514/6.2012-1818

[7]

Gockel B, 2012, 53 AIAA ASME ASCE AH, P1

[8]

Grieves M., 1995, FOREWORD FOREWORD 1

[9] Simulation framework for the verification of PLC programs in automobile industries [J].

Koo, Lock-Jo ;

Park, Chang Mok ;

Lee, Chang Ho ;

Park, SangChul ;

Wang, Gi-Nam .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (16) :4925-4943

[10] Digital Twin in manufacturing: A categorical literature review and classification [J].

Kritzinger, Werner ;

Karner, Matthias ;

Traar, Georg ;

Henjes, Jan ;

Sihn, Wilfried .

IFAC PAPERSONLINE, 2018, 51 (11) :1016-1022

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