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1、目录目 录摘要IAbstractII第1章 绪论11.1课题研究的背景和意义11.2涡流检测技术及其新进展21.3脉冲涡流国内外研究现状41.4 脉冲涡流裂纹检测的优势及发展方向51.5 论文体系结构及创新点61.6 本章小结7第2章 裂纹脉冲涡流检测理论82.1裂纹涡流检测基本原理82.2 涡流检测等效电路分析92.3脉冲涡流裂纹检测分析102.3.1 模拟脉冲磁场的产生112.3.2 被测导体的涡流强度计算112.3.3 线圈中的感应电压122.4 影响检测精度因素分析132.4.1 激励线圈相关参数的影响132.4.2 被测导体的影响132.4.3 提离效应的减少142.4.4 噪声对检
2、测信号干扰142.5 本章小结14第3章 数据采集系统硬件设计153.1 设计数据采集系统的目的153.2 总体方案设计153.3 传感器模拟信号调理电路的设计163.3.1 前置放大电路模块163.3.2 带通滤波模块173.3.3 程控放大电路模块193.4 A/D转换模块的设计203.5 控制模块的设计213.5.1 CPLD控制电路设计213.5.2 单片机控制模块223.6 系统原理图及PCB图233.6.1原理图的设计243.6.2 PCB的布局和布线243.6.3 抗干扰性分析263.7 本章小结26第4章 采集系统软件设计274.1 单片机程序设计274.1.1 主程序模块设计
3、274.1.2 串行通信中断子程序设计284.1.3 程序调试294.2 CPLD功能设计304.2.1 时钟产生模块304.2.2 增益控制模块304.2.3 数据串并转换模块314.3 PC机通信程序设计324.3.1 串口通信控制模块334.3.2 数据处理模块344.3.3 串口通信界面设计354.4 数字滤波器的设计354.4.1 FIR窗函数设计原理364.4.2 设计步骤384.5 本章小结39第5章 涡流传感器静态模型的建立405.1传感器非线性特性及温度补偿分析405.1.1 传感器非线性特性及分析405.1.2 温度补偿的重要性分析415.2 函数链神经网络建模425.2.
4、1 函数链神经网络建模原理425.2.2 神经网络拟合算法的推导435.2.3 函数链神经网络各影响因素的探讨445.3 基于函数链神经网络的传感器非线性校正及温度补偿455.3.1 非线性反函数补偿原理455.3.2 基于函数链神经网络的非线性校正模型455.3.3 基于函数链神经网络的温度补偿模型475.4 本章小结48第6章 实验调试及分析496.1 调试仪器及采集结果496.2 硬件电路的调试516.2.1 激励信号的产生516.2.2 前置放大和PGA放大的调试526.2.3 带通滤波526.3 系统联调与实验536.3.1 A/D转换及PC通信536.3.2 数字滤波546.4 误
5、差分析546.4.1 测量数据精度评价546.4.2 误差分析556.5 本章小结58第7章 检测系统实验方案的设计597.1 脉冲涡流检测实验系统构成597.2实验方案设计597.2.1机械运动方案设计597.2.2 控制方式的设计617.3传感器的设计617.4标准试件的设计637.5 实验内容及注意事项637.6 本章小节64结论65参考文献67攻读硕士学位期间所发表的论文70致谢71VContentsContentsAbstractIICHAPTER 1 Introduction11.1 The Background and Significance of Research11.2 T
6、he New Technical Development of Eddy Current Testing21.3 Research Status at home and Abroad of Pulsed Eddy Current Testing41.4 Advantages and Development direction of Pulsed Eddy Current Testing51.5 Architecture and Innovation Point of This Paper61.6 Chapter Summary7CHAPTER 2 Detection Theory of Pul
7、sed Eddy Current Testing82.2 Equivalent Circuit Analysis of Eddy Current Testing92.3 Crack Detection and Analysis of Pulsed Eddy Current Testing102.3.1 Simulation of Pulsed Magnetic Fields Generation112.3.2 The Calculation of Eddy Current Strength of Conductor112.3.3 The Induction Voltage of Coil122
8、.4 The factors that influence the detection accuracy132.4.1 Incentive effects of the coil parameters132.4.3 The Effect of Lift-off142.4.4 The Interference of Noise on Detection Signal142.5 Chapter Summary14CHAPTER 3 Software Design of Data Acquisition System153.1 The Purpose of Design Data Acquisiti
9、on System153.2 Design of Overall Program153.3 The Design of Signal-modulated Circuit for a Sensor163.3.1 Circuit Module of Pre-amplification163.3.2 Band-pass Filter Module173.3.3 Programmable Amplifier Module193.4 design of A / D Converter Module193.5 Design of Control Module213.5.1 CPLD Control Cir
10、cuit213.5.2 MCU Control Module223.6 System Diagram and the PCB233.6.1 Design of Schematic233.6.2 Layout and Routing of PCB243.6.3 Analysis of Anti-interference253.7 Chapter Summary26CHAPTER 4 Hardware Design of Data Acquisition System274.1 Design of MCU Program274.1.1 Design of the Main Program Modu
11、le274.1.2 Design of Serial Communication Interrupt Subroutine284.1.3 Program debugging294.2 Functional Design of CPLD304.2.1 Clock Generation Module304.2.2 Gain Control Module304.2.3 The Serial-parallel Conversion Module of Data314.3 Design of PC-Communication Program324.3.1 Control Module of Serial
12、 Communication334.3.2 Data Processing Module344.3.3 Interface Design of Serial Communication354.4 Design of Digital Filter364.4.1 Design Principle of FIR Window Function364.4.2 Design Steps384.5 Chapter Summary39CHAPTER 5 The Establishment of Static Model of Eddy Current Sensor405.1 Analysis of Sens
13、or Non-linearity and Temperature Compensation405.1.1 Analysis of Nonlinear Characteristics of Sensor405.1.2 Importance of Temperature Compensation415.2 Principles and Methods of FLANN Modeling415.2.1 Principles of FLANN Modeling425.2.2 Derivation of Neural Network Fitting Algorithm435.2.3 Influentia
14、l Factors of FLANN445.3 Non-linear Calibration of Sensors based on FLANN455.3.1 Compensation Principle of Non-linear Inverse Function455.3.2 Non-linear Calibration Model Based on FLANN455.3.3 Model of Temperature Compensation Based on FLANN475.4 Chapter Summary48CHAPTER 6 Debugging and Analysis of Experiments496.1 Debugging Apparatus and Data Collection Results496.2 Debugging of Hardware Circuit516.2.1 Incentive Signal Generation516.2.2 Pre-amplification and amplification of PGA526.2.3 Band-pass Filter526.3 System On-line Debugging and Experimental536.3.
