Modeling Flow Sensor Signal (4 results)
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paperback. Condition: New. Pub Date: October 2012 Pages: 130 in Publisher: University Press of Hefei flow sensor signal modeling. signal processing and systems research is one of the the Gok soldier the Dr. Wencong. The selected PhD thesis Gok Bing the Dr. Wencong Hefei University some outstanding doctoral thesis. Gok Bing the D…r. Wencong In order to improve the quality of the publication of the thesis. in order to focus on innovation and publication of principle. fully demonstrated the doctoral students of our school'.
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paperback. Condition: 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 ap…plications. 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.
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