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A multi-channel signal-enhanced fractional-order vibrational resonance coupled stochastic resonance array method for early fault detection of rolling bearings
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DOI：10.1177/14759217261469811.png)
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Abstract
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<jats:p>In the field of early fault detection for rolling bearings, stochastic resonance (SR) and vibrational resonance (VR) have been widely adopted as effective nonlinear signal processing tools. Nonetheless, when it comes to enhancing weak fault characteristics, most existing methods based on SR and VR or their coupled variants depend on single-channel signals, inevitably giving rise to low detection performance and reliability without regard to the sensitivity of different channel signals to early faults. In addition, these methods typically transform the nonstationary signal of machines into a sine-like one, losing mechanical multi-frequency fault characteristics. Accordingly, this article proposes a multi-channel signal-enhanced fractional-order VR coupled SR (MSE-FVRCSR) array method for enhancing multi-frequency fault characteristics. For the purpose of obtaining enhanced weak fault characteristics and improved detection performance, the proposed method synthesizes the dual merits of both SR and VR, which are respectively triggered by noise and high-frequency excitation. Then, multi-channel information collaboration is incorporated into the proposed method to address the limited reliability of single-channel signals and further boost the detection performance. Finally, the MSE-FVRCSR array, by integrating multiple FVRCSR and multi-channel signals, is designed to enhance multi-frequency fault characteristics for overcoming the drawback of single FVRCSR that enhances them into a single-frequency sine-like signal. Furthermore, the proposed method demonstrates superior performance, as evidenced by experimental results and comparisons with the single FVRCSR, FVR, fractional-order SR, and feature mode decomposition (FMD) methods.</jats:p>
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