Application of Wavelet Packet and Fuzzy ART Neural Network to Vibration Exception Monitoring for Grinding Process

ZAN Tao; WANG Min; LI Gang; FEI Ren-yuan

Journal of Beijing University of Technology > 2008 > 34(7): 678-681,707.

ZAN Tao, WANG Min, LI Gang, FEI Ren-yuan. Application of Wavelet Packet and Fuzzy ART Neural Network to Vibration Exception Monitoring for Grinding Process[J]. Journal of Beijing University of Technology, 2008, 34(7): 678-681,707.

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Application of Wavelet Packet and Fuzzy ART Neural Network to Vibration Exception Monitoring for Grinding Process

Beijing Key Lab for Advanced Manufacturing Technology, Beijing University of Technology, Beijing 100022, China

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Received Date: December 17, 2006
Available Online: December 14, 2022

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In this paper wavelet packet technique is used to decompose the vibration signals of grinding process.Since these decomposed signals in every band have different energy,they can be used to represent the vibration exception with fuzzy ART neural network.The fuzzy ART neural network can generate a new clustering to give an alarm when vibration exception of unknown pattern appears.Compared with traditional methods this method can identify the known and unknown pattern exceptions of grinding process.The result of practical application shows that this method is very efficient.
- grinding,
- wavelet packet,
- pattern recognition,
- fuzzy ART neural network

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Application of Wavelet Packet and Fuzzy ART Neural Network to Vibration Exception Monitoring for Grinding Process

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