BP-Neural-Network-Based Tool Wear Monitoring by Using Wavelet Decomposition of the Power SpectrumOA
BP-Neural-Network-Based Tool Wear Monitoring by Using Wavelet Decomposition of the Power Spectrum
In a drilling process, the power spectrum of the drilling force is related to the tool wear and is widely applied in the monitoring of tool wear. But the feature extraction and identification of the power spectrum have always…查看全部>>
In a drilling process, the power spectrum of the drilling force is related to the tool wear and is widely applied in the monitoring of tool wear. But the feature extraction and identification of the power spectrum have always been an unresolved difficult problem. This paper solves it through decomposition of the power spectrum in multilayers using wavelet transform and extraction of the low frequency decomposition coefficient us the envelope information of t…查看全部>>
ZHENG Jian-ming;XI Chang-qing;LI Yan;XIAO Ji-ming
Institute of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, P. R. ChinaInstitute of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, P. R. ChinaInstitute of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, P. R. ChinaInstitute of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, P. R. China
机械制造
tool wear monitoringpower spectrumwavelet transformBP neural network
tool wear monitoringpower spectrumwavelet transformBP neural network
《国际设备工程与管理（英文版）》 2004 (4)
198-204,7
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