Development of PIND system based on resonant sensors and research on material identification methods for redundant particles Article Swipe
Zhaowei Ren
,
Xiaodong Zou
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2822/1/012191
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2822/1/012191
Aiming at the problems of the existing particle impact noise detection (PIND) system, such as low detection accuracy, high rate of misjudgment and missed judgment, and the inability to judge the material of internal redundant particles in real time, a method for automatic detection and material identification of redundant particles based on neural network recognition is proposed, and an automatic detection system for redundant particles of sealed electronic devices is developed. The system is equipped with multi-channel piezoelectric resonant sensors, which convert the redundant particle impact noise signal into a voltage signal, and then transmit the signal to the host using a high-speed data acquisition system. The upper computer uses a short-term energy threshold detection method to extract signal pulses; Then, a variety of time and frequency domain features are extracted and combined with wavelet domain features; Finally, by training the multi output neural network prediction model, it can automatically judge whether there are redundant particles in the tested parts, and automatically give the material information of the redundant particles. Experiments show that the accuracy of the system for material recognition of redundant particles with a mass greater than 0.1 mg can reach 88.6%.
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- article
- Language
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- https://doi.org/10.1088/1742-6596/2822/1/012191
- OA Status
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https://openalex.org/W4403837290Canonical identifier for this work in OpenAlex
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https://doi.org/10.1088/1742-6596/2822/1/012191Digital Object Identifier
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Development of PIND system based on resonant sensors and research on material identification methods for redundant particlesWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-09-01Full publication date if available
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Zhaowei Ren, Xiaodong ZouList of authors in order
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https://doi.org/10.1088/1742-6596/2822/1/012191Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/2822/1/012191Direct OA link when available
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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