| 小波分析在电池钢壳口部裂纹检测中的应用 |
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| 引用本文： | 钟华,常伟,侯峰涛. 小波分析在电池钢壳口部裂纹检测中的应用[J]. 电池, 2007, 37(4): 280-281 |
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| 作者姓名： | 钟华 常伟 侯峰涛 |
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| 作者单位： | 1. 中银(宁波)电池有限公司,浙江,宁波,315011
2. 微软(北京)有限公司,北京,100096 |
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| 摘 要： | 小波变换可以把噪音信号从有效信号中去除,并对图像进行分解处理;通过多尺度下的基于小波变换,可以检测并表征一个图像信号.利用此信号处理方法,可有效地实时检测与识别电池钢壳口部的裂纹.
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| 关 键 词： | 小波分析 多尺度变换 钢壳裂纹 |
| 文章编号： | 1001-1579(2007)04-0280-02 |
| 修稿时间： | 2007-01-27 |
Application of wavelet analysis in the opening crackle detection of battery can |
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| ZHONG Hua,CHANG Wei,HOU Feng-tao. Application of wavelet analysis in the opening crackle detection of battery can[J]. Battery Bimonthly, 2007, 37(4): 280-281 |
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| Authors: | ZHONG Hua CHANG Wei HOU Feng-tao |
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| Abstract: | The noise signals could be eliminated from the effectual signals by the wavelet transformation,and the images were decomposed and treated.Based on the wavelet transformation under multi-dimensions,the detection and characterization of a image signal could be done.The opening crackle of the battery can could be effectively detected and identified by using this signal treated method. |
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| Keywords: | wavelet analysis multi-dimensions transformation the crackle of battery can |
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