An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction.

Affiliation

Fauclty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Engineering Research Center for Mineral Pipeline Transportation YN, Kunming 650500, China. Electronic address: [Email]

Abstract

In order to overcome the influence of non-adaptive selection of non-stationary coefficient threshold of compound interpolation envelope (CIE) method on decomposition performance of local mean decomposition (LMD), a LMD method based on improved compound interpolation envelope (ICIE) is proposed in this paper. Firstly, combining the CIE with fractal box dimension, an improved envelope processing method, named ICIE, is proposed. Secondly, an improved LMD-based ICIE is presented and abbreviated as ICIELMD. Finally, three different data-sets, including simulation signal, rolling bearing data-sets from Case Western Reserve University (CWRU) and National Aeronautics and Space Administration (NASA), are used to complete the comparative experiments between the proposed ICIELMD and state-of-the-art methods (CIELMD) and demonstrate the effectiveness of the ICIELMD method. The experimental results show that the proposed method achieves comparable or slightly better than the other methods, and provides a new solution for complex signal analysis of rolling bearing faults.

Keywords

Fault feature extraction,Hilbert demodulation,Improved compound interpolation envelope,Improved local mean decomposition,Kurtosis criterion,Rolling bearings,

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