Giovanni Jacazio

Papers

Total Citations

H-Index

About

Giovanni Jacazio is a leading researcher in the field of Prognostics and Health Management (PHM), with a specific focus on industrial robotics and aerospace actuation systems. His work is centered on developing data-driven solutions to predict and prevent equipment failures, thereby enhancing operational reliability and reducing costly downtime in critical manufacturing and aviation environments. His most cited work, "Harmonic Drive Gear Failures in Industrial Robots Applications: An Overview" (2021, 47 citations), provides a foundational analysis of failure modes in precision robot components, directly impacting maintenance strategies for production lines. Jacazio has further advanced this field by developing data-driven PHM solutions for robotic hemming in automotive assembly (2023, 13 citations), a key process for joining car body panels. His research also extends to aerospace, where he has explored collaborative robotics to improve maintenance procedures for primary flight control servo-actuators (2021). By bridging the gap between mechanical degradation analysis and intelligent monitoring systems, Jacazio’s contributions are pivotal for the next generation of autonomous, reliable, and cost-effective industrial and aviation systems.