Fault Diagnosis of Reducing Valve Based on Bispectra Slices

DOI

10.2991/ammsa-18.2018.36How to use a DOI?

Keywords

pressure relief valve; bicoherence spectrum; 2-D wavelet; LSSVM; fault diagnosis

Abstract

Bispectrum Includes nonsymmetric, nonlinear information of singals, it can be used to describe nonlinear phase couplings, especially quadratic phase couplings. Bicoherence function can evaluate the degree of quadratic phase couplings quantitatively, the bicoherence spectrum of normal and fault singals show different peaks characteristics. 2-D wavelet multi-level decomposition can compress the information of 2-D arrays while extracting features of frequences in primitive signals effectively. LSSVM can find the global optimization solution with small samples, so avoids local optimization, and it can reduce computation complexity. 26 groups of data obtained from the experiment were used to extract features by 2-D wavelet multi-level decomposition from bicoherence spectrum,then the features were input to the LSSVM, and diagnose the valve’s faults, the correct rate is nearly 90%, it is satisfactory.

Copyright

© 2018, 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  - Wenbing Wu
PY  - 2018/05
DA  - 2018/05
TI  - Fault Diagnosis of Reducing Valve Based on Bispectra Slices
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 180
EP  - 184
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.36
DO  - 10.2991/ammsa-18.2018.36
ID  - Wu2018/05
ER  -