Novel self-adaptive vibration signal analysis: concealed component decomposition and its application in bearing fault diagnosis
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Title
Novel self-adaptive vibration signal analysis: concealed component decomposition and its application in bearing fault diagnosis
Authors
Keywords
Rolling bearing, Fault diagnosis, Signal decomposition, Vibration analysis
Journal
JOURNAL OF SOUND AND VIBRATION
Volume -, Issue -, Pages 116079
Publisher
Elsevier BV
Online
2021-03-13
DOI
10.1016/j.jsv.2021.116079
References
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- (2020) Prashant Tiwari et al. ISA TRANSACTIONS
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- Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering
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- (2017) Amandeep Singh et al. APPLIED ACOUSTICS
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- Adaptive variational mode decomposition based on artificial fish swarm algorithm for fault diagnosis of rolling bearings
- (2016) Jun Zhu et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
- (2016) Akhand Rai et al. TRIBOLOGY INTERNATIONAL
- An approach using ensemble empirical mode decomposition to remove noise from prototypical observations on dam safety
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- Demodulation for hydraulic pump fault signals based on local mean decomposition and improved adaptive multiscale morphology analysis
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- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
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- Identification of multiple transient faults based on the adaptive spectral kurtosis method
- (2011) Yanxue Wang et al. JOURNAL OF SOUND AND VIBRATION
- Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
- (2011) G.F. Bin et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rotating machinery prognostics: State of the art, challenges and opportunities
- (2008) Aiwina Heng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Generalized sidelobe canceller based combined acoustic feedback- and noise cancellation
- (2007) Geert Rombouts et al. SIGNAL PROCESSING
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