摘要
在医院血液科的护理中,需要实时进行血流动力学检测装置转换器故障分析,为了提高血流动力学检测装置转换器故障自动诊断能力,提出一种基于频谱特征分析的血流动力学检测装置转换器故障自动诊断方法。构建血流动力学检测装置转换器故障信号采集模型,对采集的血流动力学输出压力特征、脉动特征以血流冲量等特征量进行联合特征分析,结合关联谱分析方法进行血流动力学检测装置转换器故障信号各频率分量检测识别,实现血流动力学检测装置转换器故障信号的频谱特征分析,根据频谱差异性进行故障辨识和诊断。仿真结果表明,采用该方法进行血流动力学检测装置转换器故障诊断的准确性较高,自动化水平较好。
In the nursing of hospital hematology department,it is necessary to analyze the fault of the converter of the hemodynamic detection device in real time.In order to improve the automatic diagnosis ability of the converter fault of the hemodynamic detection device,an automatic fault diagnosis method for converter of hemodynamic detection device is presented based on spectrum characteristic analysis.A fault signal acquisition model of converter for hemodynamic detection device is constructed.The characteristics of hemodynamic output pressure and pulsation are analyzed by combining characteristics such as blood flow impulse and so on.Combined with the correlation spectrum analysis method,the frequency components of the converter fault signal are detected and identified,and the spectrum characteristic analysis of the converter fault signal is realized.Fault identification and diagnosis are carried out according to spectrum difference.The simulation results show that the accuracy and automation level of the converter fault diagnosis are higher.
作者
蒙庆华
叶茂亭
廖荣红
刘玥
张海英
Ronghong;LIU Yue;ZHANG Haiying(Department of Cardiac Surgery,Southwest Hospital of Chongqing,Chongqing 400030,China)
出处
《自动化与仪器仪表》
2020年第2期201-204,共4页
Automation & Instrumentation
