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Feasibility Study for the Development of a Diagnostic and Prognostic System on a High-Speed Rotating Cutter

  • Luca Viale
  • , Alessandro Paolo Daga*
  • , Luigi Garibaldi
  • , Salvatore Caronia
  • , Ilaria Ronchi
  • *Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The integration of artificial intelligence and advanced machine learning techniques has radically changed the safety and reliability of industrial systems. This innovative paradigm led to the widespread adoption of condition-based maintenance strategies, with vibration monitoring emerging as a milestone technique. This study, conducted in collaboration with Tecnau SRL, investigates the feasibility of implementing a diagnostic and prognostic system for their “Revolution 50” series apparatus. This work explores machinery behaviour through endurance tests to lay the foundation for the future development of anomaly detection and machinery health classification. Experimental tests facilitate continuous monitoring under various operating conditions to potentially conceive real-time industrial diagnostic systems. Endurance tests reveal promising results, showing the potential for accurate recognition of the machine state of health. Multi-scale signal analysis highlights the significance and the detection of transient and steady-state phases, improving the effectiveness of potential real-time monitoring strategies. Future research directions include further industrial development of real-time monitoring systems, optimization of classification models, and exploration of cost-effective sensor selection and acquisition systems.

Original languageEnglish
Title of host publicationAdvances in Italian Mechanism Science - Proceedings of the 5th International Conference of IFToMM Italy - Volume 2
EditorsGiuseppe Quaglia, Giovanni Boschetti, Giuseppe Carbone
PublisherSpringer Nature
Pages351-359
Number of pages9
ISBN (Print)9783031645686
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event5th International Conference of IFToMM Italy, IFIT 2024 - Turin, Italy
Duration: 11 Sept 202413 Sept 2024

Publication series

NameMechanisms and Machine Science
Volume164 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference of IFToMM Italy, IFIT 2024
Country/TerritoryItaly
CityTurin
Period11/09/2413/09/24

Keywords

  • condition-based maintenance
  • machine diagnostics
  • machine prognostics
  • multi-scale analysis
  • signal processing
  • vibration monitoring

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