Applications of fractional lower order frequency spectrum technologies to bearing fault analysis
DOI10.1155/2019/7641383zbMath1435.94103OpenAlexW2970886369WikidataQ127280281 ScholiaQ127280281MaRDI QIDQ2298778
Junbo Long, Peng Li, Hai-Bin Wang
Publication date: 20 February 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/7641383
Fractional processes, including fractional Brownian motion (60G22) Applications of statistics in engineering and industry; control charts (62P30) Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13) Fault detection; testing in circuits and networks (94C12) Stable stochastic processes (60G52)
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Cites Work
- Robust fault reconstruction in discrete-time Lipschitz nonlinear systems via Euler-approximate proportional integral observers
- A WHT signal detection-based FLO-TF-UBSS algorithm under impulsive noise environment
- A subspace-based direction finding algorithm using fractional lower order statistics
- A multiscale noise tuning stochastic resonance for fault diagnosis in rolling element bearings
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