## 3 Conclusions  
Vibration monitoring, augmented by advanced signal processing and pattern analysis, is a powerful approach for diagnosing faults in rotating machinery. By transforming raw vibration data into actionable insights, these techniques enable early fault detection, improve machinery reliability, and optimize maintenance practices in the industrial field [22]. As technology advances, further integration of machine learning and real-time data analytics will continue to enhance the capabilities and effectiveness of vibration-based diagnostics and prognostics. Conceptualization, A.P.D. and L.G. ; writing--original draft preparation, A.P.D. ; writing--review and editing, A.P.D. All authors have read and agreed to the published version of the manuscript. This research received no external funding. The authors declare no conflict of interest. List of Contributions
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