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小波神經(jīng)網(wǎng)絡(luò)的微孔鉆削在線監(jiān)測
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    摘要:

    提出小波神經(jīng)網(wǎng)絡(luò)對微孔鉆削進行實時監(jiān)測的方法，利用扭矩信號的小波包分解，以分解后的各能量向量作為神經(jīng)網(wǎng)絡(luò)的輸入，對系統(tǒng)進行訓(xùn)練，利用Matlab和 LabView軟件建立微孔鉆削在線監(jiān)測軟件系統(tǒng)。試驗結(jié)果表明：小波神經(jīng)網(wǎng)絡(luò)精度高、收斂速度快，采用小波神經(jīng)網(wǎng)絡(luò)對提高微孔鉆削在線監(jiān)測的準(zhǔn)確性是有效的。

    Abstract:

    A micro-role drilling monitoring method was brought forward based on BP neural network, whose input signals were the energy eigenvectors of torque signal by using wavelet packet transform. Furthermore, a kind of micro-role drilling on-line monitoring software system has been constructed by using Matlab software and LabView software. Experiments validated that the rate of checking out micro-drills breakage was very high by using wavelet neural networks, with the characters of high-precision, quick-convergence compared with BP neural network, and the monitoring system has good practical value.

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孫艷紅,楊兆軍,崔亞新,張立新,張繼生.小波神經(jīng)網(wǎng)絡(luò)的微孔鉆削在線監(jiān)測[J].農(nóng)業(yè)機械學(xué)報,2007,38(2):176-178.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(2):176-178.

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