With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is benecial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.

Why Predictive Maintenance is Driving Industry 4.0

The Definitive Guide

Contents

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Introduction .................................................................................................................................... 3

Benefits of Predictive Maintenance ................................................................................ 4-5

The Evolution of Predictive Maintenance .......................................................................... 6

Rule-based Predictive Maintenance ............................................................................... 7-8

Predictive Maintenance Utopia - Machine learning ............................................... 9-11

Getting Started: a Pragmatic Approach ........................................................................... 12

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