Detecting nonlinearity from a continuous dynamic system based on the delay vector variance method and its application to gear fault identification

DOI10.1007/S11071-009-9586-9zbMath1189.70105OpenAlexW2077075674MaRDI QIDQ979372

Shumin Hou, You-Rong Li

Publication date: 28 June 2010

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-009-9586-9

zbMATH Keywords

nonlinearitycontinuous dynamics systemDVV methodgear fault identification

Mathematics Subject Classification ID

System identification (93B30) Nonlinear dynamics in mechanics (70K99)

Related Items (1)

Location identification of nonlinearities in MDOF systems through order determination of state-space models

Cites Work

• Effect of localized faults on chaotic vibration of rolling element bearings
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• Comparison of statistical indices using third order statistics for nonlinearity detection
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• Practical method for determining the minimum embedding dimension of a scalar time series
• Vibration in gear systems.
• The delay vector variance method for detecting determinism and nonlinearity in time series
• Surrogate time series.
• Dynamics of a gear system with faults in meshing stiffness
• Stability analysis of a rotor bearing system due to surface waviness and number of balls
• Testing for nonlinearity in high-dimensional time series from continuous dynamics
• Fault identification in rotating machinery using the correlation dimension and bispectra

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