《电气信息类专业英语(21世纪全国本科院校电气信息类创新型应用人才培养规划教材)》-图书推荐
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《电气信息类专业英语》课文的选材来自国外电气信息各个领域原版优秀教材。
全书注重提高学生阅读专业书刊，阅读和翻译引进设备技术文件，用英语撰写专业论文等方面的能力。每个单元分为课文、生词和短语、注释、翻译技巧、练习及阅读材料等部分。
本书由攀枝花学院缪志农、周荣富任主编，攀枝花学院潘慧梅、王利华任副主编。
内容推荐《电气信息类专业英语》(缪志农、周荣富任主编)主要为从事电气信息工程工作的入学习专业英语知识而编写，全书从实际应用出发，选用英文原版的电路基础、控制理论、计算机及网络、电力驱动、检测技术、过程控制、电力工程、电子信，自智能控制等方面的专业知识作为课文内容，基本涵盖了自动化、电气工程与自动化、测量控制与仪器、电子信息、机电一体化各专业的基础知识，并力求反映最新内容。每篇课文后配有一篇阅读材料。
《电气信息类专业英语》可作为自动化、电气工程与自动化、测量控制与仪器、电子信息、机电一体化等专业及其他相关专业的大学本科教材，也可供广大卜程技术人员参考使用。
目录PART 1 Fundamental of Electric
Lesson 1 Electronic Components
Lesson 2 Electrical Networks
Lesson 3 Basic Laws
Lesson 4 Three-Phase Y-Y Connection
Lesson 5 The Operational Amplifier
Lesson 6 Digital Logic Circuits
PART 2 Fundamental of Control Theory and Power Electronics
Lesson 1 An Overview of Feedback Control
Lesson 2 Dynamic Models
Lesson 3 The Classic Three-Term Controller
Lesson 4 Frequency Response
Lesson 5 Overview of Power Semiconductor Switches (1)
PART 3 Computer and Network
Lesson 1 Introduction to Microcomputer
Lesson 2 CPU Basics and Organization
Lesson 3 Windows XP Operating System
Lesson 4 Office Automation
Lesson 5 Computer Network
Lesson 6 Computer Virus
PART 4 Electric Machinery
Lesson 1 Transformers
Lesson 2 Direct-Current Machines
Lesson 3 DC Motor
Lesson 4 Synchronous Machines
PART 5 Measure Technology
Lesson 1 PLL Communication Types
Lesson 2 Measurement Instrumentation
Lesson 3 Potentiometer
Lesson 4 Feedback Control Systems
Lesson 5 Mechanical Sensors
PART 6 Process Control
Lesson 1 Introduction to Control System
Lesson 2 Electrical Actuators
Lesson 3 Control Elements
Lesson 4 Process Characteristics
PART 7 Electric Engineering
Lesson 1 Generation of Eleetrieal Energy
Lesson 2 Operation of Power System
Lesson 3 Transmission of Electrical Energy
Lesson 4 Circuit Breakers
Lesson 5 Protection of Medium-Voltage Distribution Systems
PART 8 Electric Information
Lesson 1 PN Diodes
Lesson 2 MOS Transistors
Lesson 3 Semieonductor Technology Families
Lesson 4 Modern Communication Technology
PART 9 Expert Systems
Lesson 1 Artifieial Intelligence
Lesson 2 Expert Systems
Lesson 3 Fuzzy Control
Lesson 4 Artificial Neural Networks
Lesson 5 Genetic Algorithms
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