| 小波变换在提升机制动信号识别中的应用 |
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| 引用本文： | 周瑾,肖兴明. 小波变换在提升机制动信号识别中的应用[J]. 煤炭学报, 2004, 29(5): 618-621 |
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| 作者姓名： | 周瑾 肖兴明 |
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| 作者单位： | 南京航空航天大学,机电学院,江苏,南京,210016;南京理工大学,机械工程学院,江苏,南京,210094;中国矿业大学,机电与材料工程学院,江苏,徐州,221008 |
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| 摘 要： | 提出用具有多分辨分析的小波阈值法对油压、位移信号去噪，去噪结果显示，小波阈值去噪可以明显地抑制噪声，提高信噪比；利用小波变换具有奇异性检测性能好的特点自动识别开、贴闸油压，效果较好．
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| 关 键 词： | 提升机 制动装置 小波变换 奇异性检测 去噪 |
| 文章编号： | 0253-9993(2004)05-0618-04 |
| 修稿时间： | 2004-02-02 |
Application of wavelet transform in the signal identification of hoist brake staff |
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| ZHOU Jin. Application of wavelet transform in the signal identification of hoist brake staff[J]. Journal of China Coal Society, 2004, 29(5): 618-621 |
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| Authors: | ZHOU Jin |
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| Abstract: | The method of oil pressure signals and displacement signals denoised by wavelet shrinkage was presented. Because wavelet shrinkage has multi-resolution advantage, the noise existed in the signals can be reduced largely. Addition, in order to recognize the value of brake oil pressure,wavelet transform which has the advantage of better singularity detection was described. Through these methods described, the good effects of signal denoise and recognition of the value of brake oil pressure were obtained from example. |
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| Keywords: | hoist brake staff wavelet transform singularity detection denoise |
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