Digital twin functions (why dt is adopted?)

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Table of contents

CHAPTER 1 – DIGITAL TWIN: A SYSTEMATIC LITERATURE REVIEW
INTRODUCTION
1.1 DIGITAL TRANSFORMATION IN SMEs
1.2 THE DIGITAL TWIN PARADIGM: STATE OF THE ART OF RESEARCH AND TECHNICAL APPROACHES
1.2.1 CONTEXT AND APPLICATION (Where to use a DT?)
1.2.2 THE DIGITAL TWIN ALONG THE PRODUCT-LIFE CYCLE (When a DT is developed?)
1.2.2.1 THE DIGITAL TWIN IN THE DESIGN PHASE
1.2.2.2 THE DIGITAL TWIN IN THE PRODUCTION PHASE
1.2.2.3 THE DIGITAL TWIN IN THE SERVICE PHASE
1.2.3 DIGITAL TWIN FUNCTIONS (Why DT is adopted?)
1.2.4 DIGITAL TWIN ARCHITECTURES (How to realize and to develop a DT?)
1.2.5 DT COMPONENTS (What a DT is made of?)
1.2.5.1 THE PHYSICAL LAYER
1.2.5.2 THE NETWORK LAYER
1.2.5.3 THE COMPUTING LAYER
1.2.5.3.1 DATA DRIVEN MODELS AND ANALYTICS
1.2.5.3.2 PHYSIC-BASED MODELS
1.2.5.3.3 THE APPLICATION AND INTERFACE LAYER
1.3 RESEARCH GAPS FOR THE DIGITAL TWIN
1.4 SYNTHESIS AND THESIS OBJECTIVE
CHAPTER 2 – FORMALIZATION OF DATA-DRIVEN INVARIANT MODELLING CONSTRUCTS: CONTRIBUTION OF THE THESIS
INTRODUCTION
2.1 STATE OF ART OF MODELLING APPROACHES
2.1.1 MODEL-BASED APPROACHES
2.1.2 DATA-DRIVEN APPROACHES
2.1.2.1 SUPERVISED DATA-DRIVEN APPROACHES
2.1.2.2 UNSUPERVISED DATA-DRIVEN APPROACHES
2.1.3 HYBRID APPROACHES
2.1.4 DESIGN PATTERN: OBJECT-ORIENTED PROGRAMMING
2.2 CONTRIBUTION POSITIONING
CHAPTER 3 – THE DEFINITION OF THE APPROACH TO EXTRACT DATA-DRIVEN INVARIANT MODELLING CONSTRUCTS
INTRODUCTION
3.1 DEFINITION OF THE APPROACH
3.1.1 DEFINITION OF THE SYSTEM
3.1.2 SYSTEM MODEL
3.1.3 DATA SELECTION
3.1.4 KNOWLEDGE DISCOVERY
3.1.5 KNOWLEDGE EXTRACTION
3.1.6 KNOWLEDGE FORMALIZATION: WEB LIBRARY OF DATA-DRIVEN CONSTRUCTS
3.1.7 DESIGN CRITERIA FOR DIGITAL TWIN
3.1.8 KNOWLEDGE RE-USE
CHAPTER 4 – CASE STUDY: MASTER ITALY DIGITAL TWIN
INTRODUCTION
4.1 THE PRESENTATION OF THE CASE STUDY: CONTEXT ANALYSIS
4.2 APPLICATION OF THE APPROACH TO THE INDUSTRIAL CASE TO DETECT DATA-DRIVEN INVARIANT MODELLING CONSTRUCTS
4.2.1 DEFINITION OF THE SYSTEM
4.2.2 SYSTEM MODEL
4.2.3 DATA SELECTION
4.2.4 KNOWLEDGE DISCOVERY
4.2.5 KNOWLEDGE EXTRACTION
4.2.6 KNOWLEDGE FORMALIZATION: WEB LIBRARY OF DATA-DRIVEN CONSTRUCTS
4.2.6.1 MOULD FILLING PATTERN (P1)
4.2.6.2 MACHINE RESTART PATTERN (P2)
4.2.6.3 CLAMPING SYSTEM PATTERN (P3) APPLIED TO MECHANICAL FAILURE
4.2.7 DESIGN CRITERIA FOR DIGITAL TWIN
4.2.8 KNOWLEDGE RE-USE
CONCLUSION
INTRODUCTION
1. SUMMARY OF THE THESIS
2. PERSPECTIVES FOR FUTURE RESEARCH WORK
ANNEXE – CASE STUDY
LIST OF FIGURES
LIST OF TABLES
BIBLIOGRAPHY