Industry 4.0 is increasingly being promoted as the key to improving productivity, promoting
economic growth and ensuring the sustainability of manufacturing companies. On the other …

Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …

In recent years, smart manufacturing which is the core idea of the Fourth Industrial
Revolution (Industry 4.0) has gained increasing attention worldwide. Recent advancements …

Manufacturing of car bodies heavily relies on demanding welding processes of joining body
parts together that introduce thousands of joining welding spots in each car. Quality …

In the present study, machine learning algorithms have been used to predict residual stress
during electron beam welding of stainless steel using the information of input process …

With the development of computer network technology and the expansion of network
system, sensitive data is facing the threat of hacker attack. Intrusion detection is an active …

Resistance spot welding is an established joining process for the production of safety-
relevant components in the automotive industry. Therefore, consecutive process monitoring …

Abstract Electric Resistance Welding (ERW) is a group of fully automated manufacturing
processes that join metal materials through heat, which is generated due to electric current …

Many industrial plants encounter infrequent faults and failures (anomalies) during operation
which generate significant increases in costs. Modelling and detection of these anomalies is …