Periodic fault signal enhancement in rotating machine vibrations via stochastic resonance

Abstract

This paper proposes a novel approach to periodic fault signal enhancement in rotating machine vibrations with a tristable mechanical vibration amplifier (TMVA) by exploiting stochastic resonance (SR). The TMVA is a nonlinear physical structure system that consists of a cantilever beam and a magnet system. Through the TMVA, the periodic weak signal can be amplified with the assistance of noise in the regime of SR. Benefitting from a wider interwell spacing and a smoother potential curve, the TMVA produces a more regular output waveform with lower noise in a wider operating bandwidth as compared to the monostable and bistable amplifiers. Different from the traditional signal enhancement approach which is based on digital signal processing (DSP) techniques, the designed physical structure can realize signal enhancement in a simple, intuitive, effective and adaptive way without too much complex operations. The effectiveness and efficiency of the proposed approach are validated by a simulated fault signal and the practical bearing and gearbox fault signals, in comparison with a traditional DSP-based SR method. The principle of the proposed approach shows potential applications on rotating machine fault diagnosis area and other areas related to weak periodic signal enhancement.

Adaptive Stochastic Resonance Method Based on Quantum Genetic Algorithm and its Application in Dynamic Characteristic Identification of Bridge GNSS Monitoring Data

“…On this basis, adaptive stochastic resonance (ASR) method developed by Mitaim et al [96] can find the best balance among signal, noise and driving force, thereby generating a stochastic resonance phenomenon that can effectively detect or highlight useful signals and achieve denoising with low signal-to-noise ratio (SNR). In recent years, applications of stochastic resonance in mechanical vibration and signal noise processing have developed rapidly [97][98][99][100][101][102][103], and the effect is encouraging. However, the application to dynamic characteristic analysis of deformation coordinate time-series from GNSS monitoring on bridges is rarely reported.…”

Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance

“…This method can enhance the output signal of a nonlinear dynamic system by means of noise addition to the system. Traditional SR methods used SNR as the criterion to tune the parameters [33,34]. When the driving frequency is unknown, the SR methods cannot work favorably.…”

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“…Wang et al [2] proposed a step-by-step compound faults diagnosis method for equipment based on majorizationminimization (MM) and constraint sparse component analysis (SCA). Lu et al [15] proposes a novel approach to periodic fault signal enhancement in rotating machine vibrations with a tris table mechanical vibration amplifier (TMVA) by exploiting stochastic resonance (SR). However, the abovementioned analysis methods are obviously inadequate for the vibration signals of multiple overlapped on rotating machinery.…”