Study on Fault Diagnosis of Rotating Machinery Based on Lyapunov Dimension and Exponent Energy Spectrum

Abstract:

In connection with the nonlinear dynamic characteristics shown from the performance of fault rotating mechanical system, the authors propose the analysis method of Lyapunov dimension and exponent energy Spectrum to the signal feature of mechanical fault. Using theory of phase space reconstruction, simulating fault signal of rotating machine is reconstructed. In order to reconstruct the phase space which can be adequately reflect the movement characteristics of the system, the time delay and embedding dimension are discussed emphatically, on this basis, calculated the Lyapunov dimension and exponential energy spectrum. From the analysis and calculation on simulation of different fault signals, it shows that under different rotating machinery fault conditions, its Lyapunov dimension and exponential energy are significantly different, which verifies that this two nonlinear feature quantities is effective parameters for fault information

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2042-2045
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2042
• Online since: November 2012
• Authors: Bing Cheng Wang, Zhao Hui Ren
• Keywords: Fault Diagnosis, Lyapunov Dimension, Lyapunov Exponent Energy Spectrum, Phase Space Reconstruction

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