Marcelino Novo
Papers
1
Total Citations
17
H-Index
1
About
Marcelino Novo is a leading researcher in intelligent manufacturing systems, with a primary focus on condition-based monitoring, digitalization, and knowledge-driven optimization for computer numerical control (CNC) machine tools. His most-cited work, "Condition-based Monitoring Architecture for CNC Machine Tools based on Global Knowledge" (2018, 17 citations), introduces a novel architecture that leverages global knowledge to enhance predictive maintenance and process traceability in industrial environments. This contribution addresses critical challenges in the Industry 4.0 landscape, including the integration of digital solutions for real-time optimization, product personalization, and connectivity. Novo’s research bridges the gap between theoretical frameworks and practical applications, enabling manufacturers to improve operational efficiency and reduce downtime through data-driven insights. His work is particularly notable for its emphasis on generating actionable knowledge from sensor data, which supports adaptive control and feedback loops in smart factories. By advancing the digital transformation of machining processes, Novo has established himself as a key contributor to the evolution of sustainable, high-precision manufacturing systems. His findings are widely cited by engineers and researchers seeking to implement robust monitoring architectures in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1