| ART-2网络在超声检测信号分析中的应用 |
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| 引用本文： | 于润桥,卢超.ART-2网络在超声检测信号分析中的应用[J].应用声学,2007,26(1):60-63. |
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| 作者姓名： | 于润桥 卢超 |
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| 作者单位： | 南昌航空工业学院无损检测技术教育部重点实验室,南昌,330034 |
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| 摘 要： | 本文以焊缝超声检测常见的缺陷（夹渣、气孔、未焊透、未熔合）为对象，选取缺陷时域波形的上升时间、波宽、上升角度和频域特征的波动次数、底宽等特征值组成特征矢量作为ART-2的输入，来实现缺陷性质的识别，并与射线检测结果对比。实验结果表明：采用该方法得到的正确识别率达到81．5％，具有良好的应用前景。
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| 关 键 词： | 超声波检测 焊缝缺陷 ART-2网络 模式识别 |
| 修稿时间： | 2005-06-132006-08-14 |
Application of ART-2 network in the signal analysis of ultrasonic testing |
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| YU Run-Qiao.Application of ART-2 network in the signal analysis of ultrasonic testing[J].Applied Acoustics,2007,26(1):60-63. |
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| Authors: | YU Run-Qiao |
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| Institution: | Key Laboratory of Nondestructive Test (Ministry of Education |
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| Abstract: | Based on the four types of weld flaws in Ultrasonic testing, this paper presents the ART-2 method to recognize the defect pattern .Five characteristics in the time domain and frequency domain are chosen as the input vector for the ART-2 network.The results were compared with those of X-Ray testing. Experimental results show that the recognition rate can reach 81.5% due to the method and it has a future for applications. |
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| Keywords: | Ultrasonic testing Welding defects ART-2 network pattern recognition |
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