环境技术2024,Vol.42Issue(12) :237-243.

基于LabVIEW的元器件粒子碰撞噪声自动检测系统设计

Design of Automatic Particle Noise Detection System for Components Based on LabVIEW

褚昆 席善斌 杨振宝 张欢 张魁 赵海龙
环境技术2024,Vol.42Issue(12) :237-243.

基于LabVIEW的元器件粒子碰撞噪声自动检测系统设计

Design of Automatic Particle Noise Detection System for Components Based on LabVIEW

褚昆 1席善斌 1杨振宝 1张欢 1张魁 1赵海龙1
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作者信息

  • 1. 河北北芯半导体科技有限公司,石家庄 050200;国家半导体器件质量检验检测中心,石家庄 050200
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摘要

针对传统的粒子碰撞噪声检测(PIND)方法,测试条件复杂,人工参与过多,存在规范性差和费时费力,难以满足大批量元器件PIND检测需求的问题.本文基于LabVIEW平台开发了粒子碰撞噪声自动检测程序,通过VISA串口建立了测试仪器与计算机间的通信.该程序能够根据用户提供的器件腔高,自动匹配试验条件,控制振动台的激振状态,对碰撞产生的多余物信号进行实时采集与离线分析,实现多余物有无判断.同时通过调用神经网络脚本,识别多余物材质信息.

Abstract

Concerning the traditional Particle Impact Noise Detection(PIND)method,issues such as complex test conditions,excessive human involvement,lack of standardization,and being time-consuming and laborious have made it difficult to meet the demands of large-scale component PIND testing.This paper develops an automatic PIND detection program based on the LabVIEW platform,establishing communication between testing instruments and computers through the VISA serial port.This program can automatically match test conditions based on the device cavity height provided by the user,control the excitation state of the vibration table,conduct real-time acquisition and offline analysis of the residual signals generated during the vibration,and determine the presence or absence of residual.Additionally,it utilizes neural network scripts to identify the material information of the residual.

关键词

LabVIEW/粒子碰撞噪声检测/多余物/自动化检测

Key words

LabVIEW/particle impact noise detection/residue/automatic detection

引用本文复制引用

出版年

2024
环境技术
广州电器科学研究院有限公司

环境技术

CSTPCD
影响因子:0.995
ISSN:1004-7204
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