Abstract
The nonlinear behavior of rolling bearing is studied. The Lyapvnov exponent is estimated from an experimental time series based on its different state. The experimental results show that the Lyapvnov exponent is different for the different state and can be used as characteristics for recognizing the rolling bearing′s fault. The rule for fault diagnosis of rolling bearing is extracted by using Lyapvnov exponent.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wang, L., Meng, H., Kang, Y. (2011). Fault Diagnosis of Rolling Bearing Based on Lyapunov Exponents. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18129-0_8
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DOI: https://doi.org/10.1007/978-3-642-18129-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18128-3
Online ISBN: 978-3-642-18129-0
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