Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution

DOI10.1007/s11431-009-0253-7zbMath1422.74050OpenAlexW2005008043MaRDI QIDQ1047392

Yanyang Zi, Jing Yuan, Han Liu, Zhengjia He

Publication date: 4 January 2010

Published in: Science in China. Series E (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11431-009-0253-7

zbMATH Keywords

blind deconvolutionrolling millgearbox fault diagnosismultiwavelet denoising

Mathematics Subject Classification ID

Vibrations in dynamical problems in solid mechanics (74H45) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)

Related Items (1)

Condition monitoring parameters for fault diagnosis of fixed axis gearbox: a review

Cites Work

• Unnamed Item
• The principle of second generation wavelet for milling cutter breakage detection
• Fractal functions and wavelet expansions based on several scaling functions
• EXTRACTION OF IMPACTING SIGNALS USING BLIND DECONVOLUTION
• Ten Lectures on Wavelets
• Multiwavelet Frames in Signal Space Originated From Hermite Splines
• De-noising by soft-thresholding

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