Neuro-fuzzy Based Condition Prediction of Bearing Health

DOI10.1177/1077546309102665zbMath1273.74137OpenAlexW2114646607MaRDI QIDQ2852397

Xinglin Li, Fagang Zhao, Lei Guo, Jin Chen

Publication date: 8 October 2013

Published in: Journal of Vibration and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1077546309102665

zbMATH Keywords

predictionneuro-fuzzybearing vibrationRBF network

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Vibrations in dynamical problems in solid mechanics (74H45)

Related Items (5)

RETRACTED: The Development of Half-circle Fuzzy Numbers and Application in Fuzzy Control ⋮ Stability analysis of interconnected fuzzy systems using the fuzzy Lyapunov method ⋮ Nonlinear output feedback control of a flexible link using adaptive neural network: stability analysis ⋮ Nonlinear output feedback control of a flexible link using adaptive neural network: controller design ⋮ RETRACTED: Fuzzy control of interconnected structural systems using the fuzzy Lyapunov method

Cites Work

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• On-Line Vibration Analysis with Fast Continuous Wavelet Algorithm for Condition Monitoring of Bearing
• Nonlinear Time Series Analysis
• Method of De-Noising By Spectral Subtraction Applied to the Detection of Rolling Bearings Defects
• A Numerical Model to Predict Damaged Bearing Vibrations

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