| 赵腾飞1，宋寿鹏1，李建平2.贯流风叶缺陷红外自动检测中噪声抑制的方法[J].轻工机械,2015,33(5): |
| 贯流风叶缺陷红外自动检测中噪声抑制的方法 |
| Anti-Nosing Method in Cross-Flow Fans' Defect Infrared Automation Detection |
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| DOI：IO. 3969/j . issn. 1005 -2895. 2015. 05. 017 |
| 中文关键词: 缺陷检测 噪声抑制 红外调制 Hilbert-Huang变换 |
| 英文关键词:defect detection noise suppression infrared modulation Hilbert-Huang transform |
| 基金项目: |
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| 摘要点击次数: 1218 |
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| 中文摘要: |
| 针对贯流风叶缺陷红外自动检测中环境光干扰导致检测准确率不高的问题，文章提出了基于调制红外光、差动
传感器与Hilbert-Huang变换去噪相结合的方法，实现了对贯流风叶注塑缺料缺陷的在线自动检测。首先由红外光源向
外发射经过幅值调制的红外光，当红外光透过贯流风叶后，由差动传感器接收透射信号并进行放大，经A/D采样后送入
单片机，再经过Hilbert-Huang变换去噪，提高了缺陷检测信号的信噪比。通过对贯流风叶产品的实际检测，该方法有效
地抑制了检测中环境光的干扰，提高了缺陷识别的准确率。 |
| 英文摘要: |
| To address the problem of low inspection accuracy in cross-flow fans' defect infrared automation detection
cause of interference of ambient light, a new method was proposed to on-line automatically detect cross-flow fans'
starving in injection molding, which was combined with modulation infrared light, differential modulation sensor and
Hilbert-Huang transform de-noising method. Amplitude modulation infrared light transmitted through cross-flow fan. and
transmission signal was received and amplified by differential sensor. Defect detection signal sampled into single chip
microcomputer by A/D, was de-noised by Hilbert-Huang transform to improve the signal-to-noise ratio. Cross-flow fans'
actual detection shows this method can effectively suppress interference of ambient light in detection and improve the
defect recognition accuracy. |
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