Author:
Ambrożkiewicz Bartłomiej,Syta Arkadiusz,Meier Nicolas,Litak Grzegorz,Georgiadis Anthimos
Abstract
Radial internal clearance (RIC) is one of the most important parameters influencing on rolling bearing exploitation in mechanical systems. Lifetime of rotary machines strongly depends on a condition of applied rolling elements, thus a study on applied clearance is very important in terms of maintenance and reliability. This paper proposes, a novel approach of studying RIC, based on a nonlinear dynamics method called recurrences. The results are confronted with standard analyses, i.e. statistical condition indicators, Fast Fourier Transform and Continuous Wavelet Transform. The application of the mentioned methods allowed us to find the optimal radial clearance for operating bearings. To ensure precise measurements of the clearance, an automated setup for RIC measurements is applied and next mounted in a plummer block and tested to finally measure vibration acceleration. The proposed methods are useful for a condition monitoring and lifetime prediction of bearings or bearing-based systems in which a proper value of radial clearance is crucial.
Publisher
Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference53 articles.
1. 1. Al-Badour F, Sunar M, Cheded L. Vibration analysis of rotating machinery using time-frequency analysis and wavelet techniques. Mechanical Systems and Signal Processing 2011; 25(6): 2083-2101, https://doi.org/10.1016/j.ymssp.2011.01.017.
2. 2. Ambrożkiewicz B, Meier N, Guo Y, Litak G, Georgiadis A. Recurrence-based diagnostics of rotary systems. IOP Conference Series: Materials Science and Engineering 2019; 710 012014, https://doi.org/10.1088/1757-899X/710/1/012014.
3. 3. Bechhoefer E, Qu Y, Zhu J, He, D. Signal processing techniques to improve and acoustic emissions sensor. Annual conference of the prognostics and health management 2013; 4: 1-8.
4. 4. Benitez R, Bolos V J, Ramirez R. A wavelet-based tool for studying non-periodicity. Computers and Mathematics with Applications 2010; 60: 634-641, https://doi.org/10.1016/j.camwa.2010.05.010.
5. 5. Bolos V J, Benitez R, Ferrer R. A new wavelet tool to quantify non-periodicity of non-stationary economic time series. Mathematics 2020; 8(5), https://doi.org/10.3390/math8050844.
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献