Micro-Vibration Mechanism of Micro-Gears Fault Diagnosis Based on Fault Characteristics and Differential Evolution Wavelet Neural Networks

Abstract:

The micro-vibration mechanism and fault characteristics of micro-gears was described and the faults were classified with no fault, gear crack, gear face wear, tooth face attrition, tooth face crack. The wavelet neural network was proposed and optimized with differential evolution algorithm. The test was taken with the diagnosis information acquired with vibration experiment and designed as training samples which was normalized for wavelet neural networks, the simulation was taken under MATLAB and the simulation result shows the new algorithm with convergence quality and higher diagnosis precision.

• Periodical: Applied Mechanics and Materials (Volume 508)
• Pages: 219-222
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.508.219
• Online since: January 2014
• Authors: Liang Yu Su
• Keywords: Differential Evolution (DE), Fault Diagnosis, Micro-Gears, Simulation, Wavelet Neural Network (WNN)

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