测试与传感器技术（英文版）
作者：张新荣，张小栋，王斌华，杜向党
出版社：清华大学出版社
出版时间：2022-07-01
ISBN：9787302601944
定价：¥98.00
Part ⅠFundamentals of Measurement Systems
Chapter 1Basic Concepts of Measurement Technologies
\n1.1Introduction
\n1.1.1Measurement, metrology, and testing
\n1.1.2Classification of measurements
\n1．1．3Structure of measurement system
\n1．2Measurement uncertainty
\n1．2．1The concept of uncertainty
\n1．2．2Measurement uncertainty sources
\n1．3Measurement errors
\n1．3．1Errors
\n1．3．2Systematic errors
\n1．3．3Random errors
\n1．4Statistical analysis of measurements
\n1．4．1Mean and median
\n1．4．2Standard deviation and variance
\n1．4．3Standard error of the mean
\n1．4．4Rogue data points
\n1．4．5Aggregation of measurement system errors
\n1．5Mathematical regression techniques
\n1．5．1Linear least squares regression
\n1．5．2Polynomial least squares regression
\n1．6Summary
\nExercises and Problems
\nChapter 2Signal Analysis
\n2．1Classification of signals
\n2．1．1Deterministic signals
\n2．1．2Random signals
\n2．1．3Continuoustime signals and discretetime signals
\n2．1．4Typical signals
\n2．2Fourier series of periodic signals
\n2．2．1Fourier trigonometric series
\n2．2．2Exponential Fourier series
\n2．2．3Frequency spectra of periodic signals
\n2．3Fourier transforms
\n2．3．1Fourier transforms of aperiodic signals
\n2．3．2Fourier transforms of periodic signals
\n2．3．3Properties of Fourier transforms
\n2．4Random signals description
\n2．4．1Characteristic parameters for random process
\n2．4．2Correlation analysis
\n2．4．3Power density spectrum
\n2．5Summary
\nExercises and Problems
\nChapter 3Signal Conditioning
\n3．1Introduction of signal conditioning
\n3．1．1Filtering
\n3．1．2Amplifying
\n3．1．3Isolation
\n3．1．4Modulation
\n3．2Filtering
\n3．2．1Simple lowpass filters
\n3．2．2Simple highpass filters
\n3．2．3Simple bandpass filters
\n3．2．4Simple bandelimination or bandreject or notch filters
\n3.2.5Design of passive filter
\n3．3Modulation
\n3．3．1Amplitude modulation
\n3．3．2Angle modulation
\n3．3．3Matlab Codes
\n3.4Summary
\nExercises and Problems
\nChapter 4Basic Characteristics of Measurement Systems
\n4．1Measurement systems and linear systems
\n4．1．1Basic requirements of measurement systems
\n4．1．2Linear systems and main characteristics
\n4．1．3Transmission characteristics of measurement systems
\n4．2Static characteristics of a measurement system
\n4．2．1Sensitivity
\n4．2．2Linearity
\n4．2．3Hysteresis
\n4．2．4Repeatability
\n4．2．5Accuracy
\n4．2．6Drift and stability
\n4．2．7Resolution
\n4．2．8Calibration
\n4．3Dynamic characteristics of a measurement system
\n4．3．1Mathematical description of dynamic characteristics
\n4．3．2Firstorder measurement system
\n4．3．3Secondorder measurement system
\n4．3．4Calibration of dynamic characteristics of systems
\n4．4Conditions of distortionless measurement
\n4．5Summary
\nExercises and Problems
\nChapter 5Outline of Sensor Technologies
\n5．1Basic concepts of sensors
\n5．1．1Definition and composition of sensors
\n5．1．2Function of sensors
\n5．1．3Classification of sensors
\n5．1．4Basic characteristics of sensors
\n5．2Sensor calibration
\n5．2．1Fundamental concepts
\n5．2．2Basic methods
\n5．2．3Calibration system
\n5．3Principles of instrument selection
\n5．3．1Characteristics of sensors
\n5．3．2The environment of measurement
\n5．3．3Cost and maintenance
\n5．4Applications and development trends of sensor
\n5．4．1Main applications
\n5．4．2Development trends
\n5．5Summary
\nExercises and Problems
\nPart ⅡTraditional Sensors and Applications
\nChapter 6Resistance Strain Sensors
\n6．1Overview of resistive sensors
\n6．2Working principle of resistance strain sensor
\n6．2．1Resistance strain effect
\n6．2．2Piezoresistive effect
\n6．3Resistance strain gauges
\n6．3．1Structure and materials of resistance strain gauges
\n6．3．2Main characteristics of resistance strain gauges
\n6．4Key problems of resistance strain gauge engineering application
\n6．4．1Pasting process of strain gauges
\n6．4．2Measurement circuits
\n6．4．3Temperature error and compensation
\n6.5Summary
\nExercises and Problems
\nChapter 7Inductive Sensors
\n7．1Introduction
\n7．2Selfinductance inductive sensors
\n7．2．1The singlecoil linear variablereluctance sensors
\n7．2．2The variabledifferential reluctance sensor
\n7．2．3Variablereluctance tachogenerators
\n7．3Mutual inductance sensors： LVDT
\n7．4Eddy currents
\n7．5Advantages/disadvantages of inductive sensors
\n7．6Applications of the inductive sensors
\n7．6．1Inductive proximity switch
\n7．6．2LVDT pressure sensor
\n7．6．3Flaw detection sensors
\n7．7Summary
\nExercises and Problems
\nChapter 8Capacitive Sensors
\n8．1Basic principle of the capacitive sensors
\n8．2Measuring displacement and velocity by changing overlapped
\narea and gap distance of capacitive sensors
\n8．2．1Using the change of the overlapped area between the
\ntwo plates
\n8．2．2Using the change in distance between the plates
\n8．2．3Capacitance bridge circuit
\n8．2．4Coaxial cylindrical capacitive sensor
\n8．3Variable permittivity capacitive sensors
\n8．4Measuring circuits of capacitive sensors
\n8．4．1Equivalent circuit of capacitive sensors
\n8．4．2Frequency modulation circuits
\n8．5Characteristics and application of capacitive sensors
\n8．5．1Characteristics of capacitive sensors
\n8．5．2Engineering application cases of capacitive sensors
\n8.6Summary
\nExercises and Problems
\nChapter 9Piezoelectric Sensors
\n9．1Piezoelectric effect
\n9．1．1Piezoelectric effect
\n9．1．2Piezoelectric materials
\n9．2Measure circuit
\n9．2．1Theory and model
\n9．2．2Signal conditioning circuit
\n9．3Piezoelectric sensors
\n9．3．1Accelerometers
\n9．3．2Force sensors
\n9．3．3Pressure sensors
\n9．4Application
\n9．4．1Principle of damping factor measurement
\n9．4．2Measurement system
\n9.5Summary
\nExercises and Problems
\nChapter 10Magnetoelectric Sensors
\n
