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智能测试原理与实践研究 版权信息
- ISBN:9787567026391
- 条形码:9787567026391 ; 978-7-5670-2639-1
- 装帧:暂无
- 册数:暂无
- 重量:暂无
- 所属分类:>>
智能测试原理与实践研究 内容简介
本书运用本领域的*新理论, 在系统梳理前人研究的基础上, 对工程领域的智能测试原理和实践方面应用进行研究和探讨, 并提出了自己的观点, 涉及基础理论、硬件基础、控制策略和软件编程。书稿分两大部分: **部分测试基础理论和硬件基础, 第二部分控制系统设计和实现。**部分具体包括信号理论、测试系统特性、传感器、工程实例等内容 ; 第二部分包具体括控制系统设计、C语言和Python语言编程、机器学习等内容。
智能测试原理与实践研究 目录
Chapter 1 Introduction
1.1 The Role and Significance of Testing Technology
1.2 Units of Measurement
1.3 Composition of the Test System
1.4 Development and Application of Testing Technology
1.5 Measurement Error
1.5.1 Truth-Value
1.5.2 Classification Based on Error Representation Methods
1.5.3 Classification Based on Error Sources
1.5.4 Errors in Numerical Calculations
Chapter 2 Signals and Analysis
2.1 Introduction
2.2 Signal Classification and Calculation
2.2.1 Deterministic Signals and Random Signals
2.2.2 Continuous Time Signal and Discrete Time Signal
2.2.3 Analog and Digital Signals 7
2.2.4 Odd and Even Signals
2.2.5 Periodic and Non-Periodic Signals
2.2.6 One-Dimensional and Multi-Dimensional Signals
2.2.7 Energy Signal and Power Signal
2.2.8 Signal Displacement, Scale Change and Defolding
2.3 Fourier Series Expansion of Periodic Signals
2.3.1 Trigonometric Function Expansion of Fourier Series
2.3.2 The Effect of Symmetry
2.4 Fourier Transform
2.4.1 Derivation of Fourier Transform
2.4.2 Properties of Fourier Transform
2.4.3 Convolution Characteristics
2.5 Digital Signal Processing
2.5.1 The Sampling Theorem
2.5.2 Aliasing
2.5.3 Choice of Sampling Frequency
2.5.4 Frequency Resolution and Quantization Error
Chapter 3 Basic Characteristics of the Test System
3.1 System and the Test System
3.2 Classification of the Test System
3.2.1 Continuous Time Systems and Discrete Time Systems
3.2.2 Dynamic and Real-Time Systems
3.2.3 Linear and Non-Linear Systems
3.2.4 Lumped Parameter System and Distributed Parameter System
3.2.5 Time-Varying Systems and Time-Invariant Systems
3.2.6 Causal and Non-Causal Systems
3.3 Linear Systems
3.3.1 Definition of Linear Time-lnvariant System
3.3.2 Properties of Linear Time-Invariant System
3.4 Test System-Related Issues
3.4.1 Measurement, Metering and Testing
3.4.2 Measurement Accuracy
3.4.3 Range and Measurement Range
3.4.4 Signal-to-Noise Ratio and Dynamic Range
3.5 Static Characteristics of the Test System
3.5.1 Linearity
3.5.2 Sensitivity
3.5.3 Repeatability
3.5.4 Hysteresis
3.5.5 Stability
3.5.6 Zero Drift
3.6 Test System Dynamic Characteristics
3.6.1 Linear Time-Invariant Systems
3.6.2 Transfer Function
3.6.3 First-Order Systems and Second-Order Systems
3.7 Conditions for Achieving Undistortion Testing
Chapter 4 Common Sensors
4.1 Classification of Sensors
4.2 Resistance Strain Sensor
4.2.1 Metal Wire Resistance Strain Effect
4.2.2 Metal Wire Resistance Strain Gauge Structure
4.2.3 Basic Characteristics of Wire Resistance Strain Gauges
4.2.4 Metal Foil Resistance Strain Gauge
4.2.5 Semiconductor Resistance Strain Gauge
4.3 Inductive Sensors
4.3.1 Variable Reluctance Sensor
4.3.2 Differential Transformer Sensor
4.3.3 Eddy Current Sensor
4.4 Capacitance Sensors
4.4.1 Polar-Pitch Varying Capacitance Sensor
4.4.2 Area-Changing Capacitance Sensor
4.4.3 Capacitance Sensors with Varying Dielectric Constant
4.4.4 Sensitivity and Measurement Circuit of the Capacitance Sensor
4.5 Piezoelectric Sensor
4.5.1 Piezoelectric Effect
4.5.2 Piezoelectric Materials
4.5.3 Equivalent Circuit
4.5.4 Measurement Circuit
4.6 Magnetoelectric Sensor
4.6.1 Working Principle of the Magnetoelectric Sensor
4.6.2 Magnetic Sensor
4.6.3 Hall Sensor
4.6.4 Application of the Magnetoelectric Sensor
4.7 Photoelectric Sensor
4.8 Development Trend of Sensors
Chapter 5 Signal Transformation and Processing
5.1 Signal Amplification
5.1.1 Measuring Amplifier
5.1.2 Isolation Amplifier
5.2 Electric Bridge
5.2.1 DC Bridge
5.2.2 AC Bridge
5.2.3 Characteristics of Bridges
5,3 Filter
5.4 Modulation and Demodulation
5.4.1 Demodulation
5.4.2 AM
5.4.3 Demodulation of AM Wave
5.4.4 Frequency Modulation and Demodulation
5.5 Analog-to-Digital and Digital-to-Analog Conversion
5.5.1 A/D Conversion
5.5.2 D/A Conversion
Chapter 6 Temperature and Fluid Parameter Measurement
6.1 Thermocouple
6.1.1 Working Principle
6.1.2 Compensation Principle
6.1.3 Classification
6.1.4 Research and Development Prospects
6.2 Thermal Resistance
6.2.1 Basic Principle
6.2.2 Classification
6.2.3 Materials and Specifications
6.2.4 Wiring Methods
6.3 Measurement of Fluid Pressure
6.3.1 Pressure Sensor Based on Elastic Pressure-Sensitive Element
6.3.2 Strain Type Pressure Sensor
6.3.3 Piezoresistive Pressure Sensor
6.3.4 Capacitive Pressure Sensor
6.3.5 Piezoelectric Pressure Sensor
6.3.6 Electromagnetic Pressure Sensor Vibrating Wire Sensor
6.3.7 Vibrating Wire Pressure Sensor
6.4 Flow Measurement
6.4.1 Differential Pressure Flowmeter
6.4.2 Rotameter
6.4.3 Turbine Flowmeter
6.4.4 Volumetric Flowmeter
Chapter 7 Intelligent Test Control
7.1 Data Acquisition and Control Output
7.2 Python Programming
7.2.1 Python Language
7.2.2 Characteristics of Python
7.2.3 Building a Python Development Environment
7.2.4 Objects and Data Types
7.2.5 Functions in Python
7.2.6 Advanced Features
7.2.7 Modules in Python
7.2.8 Python Classes and Instances
7.2.9 Python Errors and Debugging
7.2.10 Python Input and Output
7.3 PID Control
7.3.1 PID Control Principle and Characteristics
7.3.2 Implementation of PID Control
7.3.3 PID Application Strategy
Chapter 8 Test Practices
8.1 Tribology Testing Machine for Articular Cartilage in Biotribology
8.1.1 Overview of Tribology Experiments
8.1.2 Articular Cartilage in Biotribology
8.1.3 Mechanical Structure of Reciprocating Sliding Friction Tester
8.1.4 The Test System of a Reciprocating Sliding Friction Experiment Machine
8.1.5 Friction and Wear Properties of Articular Cartilage
8.2 Digital Electronic Level
8.2.1 Overview of Electronic Level
8.2.2 Detection Process
8.2.3 Data Acquisition and Communication
8.2.4 Non-Linearity and Temperature Compensation
References
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