Marco Cocconcelli

University of Modena and Reggio Emilia

Papers

2

Total Citations

54

H-Index

2

About

Marco Cocconcelli is a leading researcher in mechanical engineering, specializing in condition monitoring, fault detection, and robotics. His work focuses on developing innovative methods for diagnosing mechanical failures, particularly in rotating machinery such as ball bearings. Cocconcelli’s most influential contribution is the introduction of "Detectivity," a novel parameter that combines Hjorth’s time-domain features to enhance the sensitivity and reliability of bearing fault detection. This work, published in 2021, has already garnered 49 citations, underscoring its impact on predictive maintenance and industrial diagnostics. In addition to condition monitoring, Cocconcelli has explored gravity balancing in parallel robots, proposing the use of constant-force generators to improve energy efficiency and control—a contribution that, while newer, signals his versatility in robotics. His research bridges theoretical modeling and practical application, offering tools that reduce downtime and extend machinery life. Cocconcelli’s achievements reflect a commitment to advancing mechanical system reliability, making his work essential reading for engineers and researchers in vibration analysis, fault diagnosis, and robotic design.

Research Focus

Key Achievements

2
H-Index
2
Papers
54
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Detectivity: A combination of Hjorth’s parameters for condition monitoring of ball bearings
49 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Modena and Reggio Emilia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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