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Signal filtering approaches are always used to attenuate noise and enhance useful signal in bearing fault diagnosis. Stochastic resonance (SR) is a nonlinear filter that can utilize noise to enhance weak periodic signal. This study proposes an adaptive SR method which can automatically enhance the bearing fault characteristic frequency (FCF). First, a second-order SR filter is utilized to purify the...
This paper presents a new method for nonlinear trend estimation of non-stationary signals, by which the trend can be self-adaptively decomposed through calculating the midpoint-based local means. In this method, the so-called midpoints are proposed to construct the local mean of a signal instead of two envelopes in the classical empirical mode decomposition (EMD) algorithm, thus resulting in the midpoint-based...
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