Adalberto Polenghi
Papers
1
Total Citations
22
H-Index
1
About
Dr. Adalberto Polenghi is a leading researcher in industrial automation and intelligent maintenance systems, with a focus on fault detection and diagnostics for collaborative robotics. His work bridges the gap between cyber-physical systems and artificial intelligence, advancing condition-based and predictive maintenance strategies that enhance manufacturing competitiveness. His most-cited paper, “A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms” (2023, 22 citations), introduces a novel hybrid AI framework that improves the reliability and uptime of smart factory robots. This research directly supports the goal of increasing overall equipment effectiveness by enabling early fault identification. Dr. Polenghi’s contributions are particularly notable for their practical application in reducing industrial downtimes, a critical challenge in modern production environments. His work has been recognized within the context of Industry 4.0, where his frameworks offer scalable solutions for real-time monitoring and diagnostics. With a growing citation record, Dr. Polenghi is establishing himself as a key voice in the integration of AI with industrial robotics, shaping the future of intelligent, self-diagnosing manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1