流量是过程检测中最为复杂的被测量之一。流量传感器的种类很多,应用相当广泛。《流量传感器信号建模、处理及实现》以作者的科研工作为基础,以涡街流量传感器、科氏质量流量传感器和电磁流量传感器这三种流量传感器为研究对象,围绕信号建模、信号处理和系统实现这三项关键技术,介绍最新进展和应用成果。《流量传感器信号建模、处理及实现》建立这些流量传感器的信号模型,描述其输入与输出关系,解释其本质特征;采用先进的数字技术处理流量传感器的输出信号,增强信息提取能力,提高性能指标,扩展其应用范围;用DSP和MCU研制实时处理系统,应用于工业现场的实际测量,取得很好效果。《流量传感器信号建模、处理及实现》可供从事自动化、仪器仪表、计算机应用、石油、化工、冶金、造纸等行业的工程技术人员,以及高等学校相关专业的教师、高年级本科生和研究生参考。7.5.1流速模拟器标定实验为测试所研制的电磁流量计的测量精度,先在实验室条件下通过流速模拟器来对其进行标定实验。流速模拟器采用重庆川仪自动化股份有限公司研制的FMS-1新型流速模拟信号发生器。实验中,将流速模拟器的差分信号输出端接至电磁流量计系统的信号输入端,将电磁流量计系统的励磁控制输出接至模拟器的励磁输入端,将电磁流量计系统的模拟地接至模拟器的信号地。则该流速模拟器能根据电磁流量计提供的励磁控制信号准确模拟发出不同设定流速下的差分输出信号。信号幅值与流速之间的线性度及重复性均较高。由于该流速模拟器的励磁部分不能模拟实际励磁线圈的感性负载,而是呈阻性负载特性。所以,在高频方波励磁情况下,模拟器的差分输出信号波形也呈方波形状,信号零点稳定。在流速设定值较大时,模拟器发出信号的信噪比也很高。该流速模拟器模拟流速范围为0.05~20.00m/s。标定实验中,电磁流量计采用25Hz方波励磁,信号采样率为4800Hz,系统软件采用基于梳状带通滤波的水流量信号处理算法,管道口径设为100mm。由上位机监控软件发出指令控制电磁流量计累积流量的起停,并计时。标定过程中将每次测量结果填入标定工作表,由标定工作表自动完成各种计算和误差分析。电磁流量计流速模拟器标定工作表如表7-5-1所示。《信息化与工业化两化融合研究与应用丛书》序前言第1章涡街流量传感器信号建模和信号处理方法1.1涡街流量计简介1.2涡街流量传感器信号建模1.2.1涡街流量信号模型1.2.2机械振动噪声信号模型1.2.3小结1.3涡街流量传感器信号处理方法1.3.1国内外研究现状1.3.2功率谱分析方法1.3.3自适应陷波滤波方法1.3.4小波变换方法1.4抗强振动干扰方法1.4.1基于单传感器的抗强干扰方法1.4.2基于双传感器的抗强干扰方法参考文献第2章涡街流量传感器信号处理系统2.1基于DSP的数字信号处理系统2.1.1一体式系统2.1.2分体式系统2.1.3关键问题处理2.1.4实验结果2.2基于MCU的低功耗信号处理系统2.2.1频谱分析与带通滤波器相结合的系统2.2.2全FFT的信号处理系统2.2.3电池供电的信号处理系统参考文献第3章科氏质量流量传感器信号建模与信号处理3.1科氏质量流量计简介3.1.1工作原理3.1.2组成3.2科氏质量流量传
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Vendeur : liu xing, Nanjing, JS, Chine
paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 306 Publisher: Science Pub. Date :2011-06-01 version 1. Flow is the process of detection is measured in one of the most complex. Many different types of flow sensors. a wide range of applications. Compiled by the Xu Kejun the flow sensor signal modeling. processing and realization of the author's research-based. vortex flow sensors. Coriolis mass flow sensor and electromagnetic flow sensor flow sensor for the study of these three objects around signal modeling. signal processing and systems to achieve three key technologies. introduces the latest progress and application of the results. Flow sensor signal modeling. processing and realization of the establishment of the flow sensor signal model describing the relationship between the input and output. to explain its essential character; the use of advanced digital technology to handle the traffic sensor output signal. and enhance information extraction capabilities. improve performance indicators. to expand its scope of application; with DSP and MCU development of real-time processing system. used in the industrial scene of the actual measurement. to obtain good results. Flow sensor signal modeling. processing and realization of available in the automation. instrumentation. computer applications. petroleum. chemical industry. metallurgy. paper and other industries of engineering and technical personnel. as well as relevant professional higher education teachers. undergraduates and graduate reference. Contents: Information technology and industrial research and application integration of the two series' order Preface Chapter 1 vortex flow sensor signal modeling and signal processing methods 1.1 Introduction 1.2 Vortex Vortex flow sensor signal modeling 1.2.1 Vortex Traffic signal model mechanical vibration noise signal model 1.2.2 1.2.3 Summary 1.3 vortex flow sensor signal processing research status 1.3.1 1.3.2 1.3.3 Power spectrum analysis method of adaptive notch filter wavelet 1.3.4 transformation method and strong anti-vibration 1.4 interference 1.4.1 of resistance based on single sensor based on dual-sensor interference method 1.4.2 Strong anti-interference methods References Chapter 2 vortex flow sensor signal processing system 2.1 DSP-based digital signal processing system 2.1.1 Integrated System Split System 2.1.2 2.1.4 2.1.3 Experimental results dealing with key issues to be 2.2 MCU-based low-power signal processing systems 2.2.1 Spectrum analysis and band-pass filter is a combination of system 2.2. 2 full FFT signal processing system 2.2.3 The battery-powered signal processing system References Chapter 3 Coriolis mass flow sensor signal modeling and signal processing 3.1 Introduction to Coriolis mass flowmeter composed of 3.2 3.1.2 3.1.1 works Coriolis mass flow sensor output signal is the output signal characteristics of the model 3.2.1 3.2.2 3.3 output signal modeling Coriolis mass flow sensor signal processing method based on DFT method 3.3.1 3.3.2 3.3.3 based on quadrature demodulation method methods based on digital phase-locked loop based on adaptive notch filtering 3.3.4 and 3.3.5 the method of combining SGA based on adaptive notch filter with negative frequency correction method of combining the DTFT 3.3.6 based on digital zero-crossing detection 3.3.7 Method for the treatment of complex flow reference Chapter 4. Coriolis mass flow control-driven approach to modeling and 4.1 Coriolis mass flow tube mathematical model of time-invariant model 4.1.1 4.1.2 4.2 drive time-varying mathematical model Principle 4.2.2 Methods 4.2.1 drive drive drive signal simulation 4.2.3 4.2.4 4.2.5 half-digital-driven approach to all-digital drive method References Chapter 5 Coriolis mass flow transmitter 5.1 5.1 transmitter solution. a function block diagram of the hardware work process 5.1.2 5.2.1 5.2 transmitter signal conditioning and acquisition hardware tempera. N° de réf. du vendeur LG4980
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