ABSTRACT
Smart manufacturing (SM) is gaining steam as a new style of production that represents the scope and impact of smart technologies on Industry 4.0, such as the Internet of Things, cloud computing, cyber-physical systems, and big data. This chapter examines how manufacturing has developed to SM, as well as the advancement of artificial intelligence (AI). Over the last few decades, intelligentisation has been a prominent trend in industrial manufacturing, supported by artificial intelligence (AI) technology, hastening the development of smart manufacturing. Standard AI has been enhanced in current industries, culminating in the emergence of so-called smart artificial intelligence (SAI), which has smart manufacturing as its technical core.
Many parts of manufacturing processes, including end-product logistics, benefit greatly from SAI-powered production. SAI’s incorporation of domain knowledge, in particular, has greatly aided the field of production monitoring. Advanced AI technologies such as deep neural networks, reinforcement learning, and adaptive learning have been widely used to support both diagnostics and predictive maintenance of the entire manufacturing process. SAI is widely recognised as one of the most significant technologies for driving industrial manufacturing’s future evolution. This research gives an in-depth look at AI-powered manufacturing and the monitoring applications that come with it.
It describes SAI’s fundamental technologies and examines typical application scenarios for three essential areas of production monitoring: problem detection, remaining usable life forecast, and quality inspection.
