基于FPGA技术的重症肺炎用高频振动排痰机故障在线监测系统设计  

Design of on-line fault monitoring system of high-frequency vibrationsputum ejector for severe pneumonia based on FPGA technology

作　　者：高月彩[1] 韩晓芳[1] 刘荣格[1] GAO Yuecai;HAN Xiaofang;LIU Rongge(The second Affiliated Hospital of Xingtai Medical College,Xingtai Hebei 054000,China)

机构地区：[1]邢台医学高等专科学校第二附属医院,河北邢台054000

出　　处：《自动化与仪器仪表》2021年第6期186-189,共4页Automation & Instrumentation

基　　金：邢台市科技计划项目(No.2018ZC202);河北省科技支撑计划项目(No.132777263)。

摘　　要：为了实现对重症肺炎用高频振动排痰机故障在线监测,提出基于FPGA技术的重症肺炎用高频振动排痰机故障在线监测方法。构建重症肺炎用高频振动排痰机故障信息采集模型,提取重症肺炎用高频振动排痰机故障信息的谱特征量,通过量化融合特征分析方法,提取故障样本的主频融合参数,通过特征优化筛选和自适应控制,实现对重症肺炎用高频振动排痰机故障在线监测。仿真测试结果表明,采用该方法进行重症肺炎用高频振动排痰机故障监测的故障定位效果较好,实时监测能力较强,提高了重症肺炎用高频振动排痰机故障实时监测和诊断能力。In order to realize the on-line fault monitoring of high-frequency vibration expectoration machine for severe pneumonia,an on-line fault monitoring method of high-frequency vibration expectoration machine for severe pneumonia based on FPGA technology was proposed.The fault information collection model of high-frequency vibration expectoration machine for severe pneumonia was established.The spectrum characteristic quantity of fault information of high-frequency vibration sputum extractor for severe pneumonia was extracted.The main frequency fusion parameters of fault samples were extracted by quantitative fusion feature analysis method.Through feature optimization screening and adaptive control,the fault online monitoring of high-frequency vibration sputum extractor for severe pneumonia was realized.The simulation test results show that the fault location effect of the method is good,and the real-time monitoring ability is strong,which improves the fault real-time monitoring and diagnosis ability of the high-frequency vibration expectoration machine for severe pneumonia.

关 键 词：FPGA技术 重症肺炎 高频振动排痰机 故障 在线监测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TN911.23[自动化与计算机技术—控制科学与工程]