Autocorrelated Envelopes for early fault detection of rolling bearings

Xu, Yuandong; Zhen, Dong; Gu, Jiahui; Rabeyee, Khalid; Chu, Fulei; Gu, Fengshou; Ball, Andrew

doi:10.1016/j.ymssp.2020.106990

Cited by 67 publications

(37 citation statements)

References 33 publications

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“…The methods cannot achieve the accurate and effective diagnosis in the extremely poor signal quality. To improve the performance of the envelope analysis, Xu et al 29 developed an autocorrelated envelope method to diagnose bearings faults under a poor SNR. Gu et al 30 introduced the modulation signal bispectrum (MSB) to suppress noise and demodulate the vibration signals, leading to a very capable means of the condition monitoring of a reciprocating compressor.…”

Section: Introductionmentioning

confidence: 99%

A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals

et al. 2020

Structural Health Monitoring

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Bearings are used as the most important load-carrying transmission components in various machines, thus subjecting to a number of faults including wear, fatigue pitting, cracks and so on. Fault detection and diagnosis of bearings can effectively prevent the machine from such typical failures and subsequent consequences. The faults in bearings can lead to the vibration signals that exhibit cyclostationary characteristics due to the inevitably random phase noise (or slippage between bearing components). In this article, a phase linearisation–based modulation signal bispectrum is proposed to tune up the cyclostationary bearing signal into a periodic waveform by linearizing the instantaneous phase of the narrow frequency band signals. In this way, the signal becomes more deterministic and modulation signal bispectrum can be effectively applied to suppression noise and obtain accurate and robust diagnosis results. As a result, this fault detector can achieve high performance in characterising the nonstationary bearing vibration signals and hence diagnose the bearing faults even in the case of extremely low signal-to-noise ratio (<−20 dB), which is benchmarked by the method of conventional modulation signal bispectrum in both simulation and experiment studies.

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Section: Introductionmentioning

confidence: 99%

A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals

et al. 2020

Structural Health Monitoring

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“…Autocorrelation analysis has great performance in noise cancellation by retaining periodic components to increase the signal-to-noise ratio (SNR) [53]. It is difficult to extract the steady and periodic AE components correlated to engine tribological behaviors because of the unknown characteristics in a non-stationary system.…”

Section: Optimal Threshold-wp Based On the Auto-correlation Analysis Of The Piston Velocitymentioning

confidence: 99%

The Investigation into the Tribological Impact of Alternative Fuels on Engines Based on Acoustic Emission

Wei

Chen

et al. 2021

Energies

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The wide use of different alternative fuels (AL) has led to challenges to the internal combustion (IC) engine tribology. To avoid any unpredicted damages to lubrication joints by using AL fuels, this study aims to accurately evaluate the influences of alternative fuels on the tribological behavior of IC engines. Recent achievements of the acoustic emission (AE) mechanism in sliding friction provide an opportunity to explain the tribological AE responses on engines. The asperity–asperity–collision (AAC) and fluid–asperity–shearing (FAS) mechanisms were applied to explain the AE responses from the piston ring and cylinder liner system. A new adaptive threshold–wavelet packets transform (WPT) method was developed to extract tribological AE features. Experimental tests were conducted by fueling three fuels: pure diesel (PD), biodiesel (BD), and Fischer–Tropsch (F–T) diesel. The FAS–AE indicators of biodiesel and F–T diesel show a tiny difference compared to the baseline diesel using two types of lubricants. Biodiesel produces more AAC impacts with higher AAC–AE responses than F–T diesel, which occurs at high speeds due to high temperatures and more particles after combustion than diesel. This new algorithm demonstrated the high performance of using AE signals in monitoring the tribological impacts of alternative fuels on engines.

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“…Future work can be focused on two main directions: one is to apply the transient POD method to large flexible spacecraft [24], the other one is to use the proposed method to study high-dimensional nonlinear rotor-bearing dynamic systems with typical faults [25][26][27] and parametric uncertainties [28][29][30][31].…”

Section: Conclusion and Outlooksmentioning

confidence: 99%

The Transient POD Method Based on Minimum Error of Bifurcation Parameter

Zhang

et al. 2021

Mathematics

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An invariable order reduction model cannot be obtained by the adaptive proper orthogonal decomposition (POD) method in parametric domain, there exists uniqueness of the model with different conditions. In this paper, the transient POD method based on the minimum error of bifurcation parameter is proposed and the order reduction conditions in the parametric domain are provided. The order reduction model equivalence of optimal sampling length is discussed. The POD method was applied for order reduction of a high-dimensional rotor system supported by sliding bearings in a certain speed range. The effects of speed, initial conditions, sampling length, and mode number on parametric domain order reduction are discussed. The existence of sampling length was verified, and two- and three-degrees-of-freedom (DOF) invariable order reduction models were obtained by proper orthogonal modes (POM) on the basis of optimal sampling length.

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Autocorrelated Envelopes for early fault detection of rolling bearings

Cited by 67 publications

References 33 publications

A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals

A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals

The Investigation into the Tribological Impact of Alternative Fuels on Engines Based on Acoustic Emission

The Transient POD Method Based on Minimum Error of Bifurcation Parameter

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