Analysis of hydro-turbine non-stationary vibration signals based on CEEMDAN and Wigner-Ville Distribution

DOI

10.2991/fmsmt-17.2017.150How to use a DOI?

Keywords

Hydro-turbine, Vibration signals, CEEMDAN, Wigner-Ville distribution

Abstract

This paper proposes a time-frequency method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and Winger-Ville distribution (WVD) for hydro-turbine non-stationary vibration signals analysis. Unlike the traditional EMD and EEMD, CEEMDAN can efficiently reduce the mode mixing and has a better convergence. Base on a series of intrinsic mode functions (IMFs) obtained by using CEEMDAN, WVD can effectively suppress the interference of cross-terms and accurately depict the time-frequency characteristics of original vibration signals. The proposed method can be employed to analyze the hydro-turbine non-stationary vibration signals successfully and shows excellent performance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Jiang
AU  - Jianzhong Zhou
PY  - 2017/04
DA  - 2017/04
TI  - Analysis of hydro-turbine non-stationary vibration signals based on CEEMDAN and Wigner-Ville Distribution
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 775
EP  - 778
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.150
DO  - 10.2991/fmsmt-17.2017.150
ID  - Jiang2017/04
ER  -