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A robust fault detection method of rolling bearings using modulation signal bispectrum analysis

Tian, Xiange, Gu, Fengshou, Rehab, Ibrahim, Abdalla, Gaballa and Ball, Andrew (2015) A robust fault detection method of rolling bearings using modulation signal bispectrum analysis. In: 28th International Congress of Condition Monitoring and Diagnostic Engineering Management (COMADEM 2015), 1st - 4th December 2015, Buenos Aires, Argentina.

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Envelope analysis is a widely used method for bearing fault detection. To obtain high detection accuracy, it is critical to select an optimal narrowband for envelope demodulation. Fast Kurtogram is an effective method for optimal narrowband selection. However, fast Kurtogram is not sufficiently robust because it is very sensitive to random noise and large aperiodic impulses which normally exist in practical application. To achieve the purpose of denoising and frequency band optimization, this paper proposes a new fault detector based on modulation signal bispectrum analysis (MSB) for bearing fault detection. As MSB results highlight the modulation effects by suppressing stationary random noise and discrete aperiodic impulses, the detector developed using high magnitudes of MSB can provide optimal frequency bands for fault detection straightforward. Performance evaluation results using both simulated data and experimental data show that the proposed method produces more effective and robust detection results for different types of bearing faults, compared with optimal envelope analysis using fast Kurtogram.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
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Depositing User: Cherry Edmunds
Date Deposited: 10 Dec 2015 12:13
Last Modified: 30 Mar 2018 16:01


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