Condition Monitoring in the Advances of Industry 4.0—Case Study

Technology-enabled maintenance via sensors and the internet of things (IoT) technologies is seen as the “new maintenance strategy”. The aim is to use these technologies to focus on unnecessary breakdowns and increase levels of asset availability where the existence of a dedicated team to maintain, or data on asset condition is limited, useless or full of noise. This paper presents the integration of multiple sensing nodes within an automated laser cutting machine for monitoring of critical components’ conditions with the aim of eliminating sudden breakdowns. The integrated system introduces a centralized web-based platform for data collection and visualization from various sensors and provides an early failure detection mechanism based on specified set points with alert mechanisms. The research highlights the carried-out stages for the identification of the appropriate components and sensory devices for the development of efficient monitoring environment.