Application of dispersion entropy in the diagnostics of a hydrodynamic bearing

Jędrzej Blaut
Łukasz Breńkacz
Jakub Wróbel
Marta Drosińska-Komor

Abstract:

This article presents a groundbreaking diagnostic methodology for detecting rotor imbalance in machinery through the innovative use of dispersion entropy (DisEn). Rotor imbalance, a prevalent issue in rotating machinery, greatly impacts operational efficiency, safety, and longevity, among others on the ship. The study proposes a non-invasive and highly sensitive method that uses DisEn to analyze vibration signals for the early and accurate detection of imbalances. The research includes a comprehensive experimental setup designed to simulate rotor imbalance conditions. DisEn, derived from Shannon entropy, offers a robust measure of signal complexity and irregularity, correlating with the severity of the imbalance. The study assesses DisEn values obtained from a rotor-bearing system's displacement and acceleration signals under various imbalance scenarios. The experimental results reveal that DisEn can effectively differentiate between balanced and unbalanced states at different operating speeds. This correlation is further substantiated by aligning with international rotor balancing standards, demonstrating the method's potential for real-time monitoring and diagnostics. The findings suggest promising opportunities for the broad application of DisEn in mechanical diagnostics, which calls for further research into its potential in different types of machinery and fault conditions. This methodology, along with the study's results, provides compelling evidence of the effectiveness and versatility of DisEn as a diagnostic tool, paving the way for its integration into modern diagnostic systems and the development of more reliable and efficient machinery.

Year:

2026

Type of Publication:

Article

Keywords: