Riccardo Rubini

Papers

Total Citations

H-Index

About

Riccardo Rubini is a leading figure in mechanical and industrial engineering, with a primary focus on condition monitoring, fault detection, and the dynamics of parallel robotic systems. His most influential work introduces **Detectivity**, a novel diagnostic metric that synthesizes Hjorth’s parameters—Activity, Mobility, and Complexity—into a single, robust indicator for the early detection of bearing faults. Published in 2021, this paper has garnered 49 citations, establishing Detectivity as a practical, computationally efficient tool for real-time machinery health assessment, significantly advancing predictive maintenance strategies. Rubini’s research also extends to the design of gravity-balanced parallel robots, where he has developed innovative constant-force generators to eliminate actuator effort and improve energy efficiency, as demonstrated in his 2022 work. By bridging theoretical signal processing with applied mechatronics, his contributions offer tangible solutions for extending equipment lifespan and enhancing robotic precision. Rubini’s work is essential reading for engineers and researchers working on vibration analysis, smart manufacturing, and advanced robotic systems.