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GI-based maximum envelope spectrum deconvolution for machinery fault diagnosis in wind turbine generator

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Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Ahead of Print.
Deconvolution methods utilizing time-domain sparsity as the objective function are widely adopted for machinery fault diagnosis due to their capability in adaptive filter design and attenuation of fault transmission. However, this approach presents ...