LabVIEW for Engineers

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Overview

Based on the most current release of LabVIEW, LabVIEW for Engineers is designed for readers with little to no experience using LabVIEW.

Part of Prentice Hall's ESource Program:
ESource enables instructors to choose individual chapters from published books in the Prentice Hall ESource Series. The content available in this online book-building system covers topics in engineering problem-solving and design, graphics, and computer applications. Using this program, instructors can create a unique text for the introduction to engineering course that exactly matches their content requirements and teaching approach. www.prenhall.com/esource.

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Product Details

  • ISBN-13: 9780136094296
  • Publisher: Prentice Hall
  • Publication date: 2/11/2010
  • Series: Alternative eText Formats Series
  • Edition description: New Edition
  • Pages: 352
  • Sales rank: 868,687
  • Product dimensions: 7.90 (w) x 9.90 (h) x 0.60 (d)

Meet the Author

Ronald W. Larsen, Ph.D., P.E., is the Department Head of the Chemical and Biological Engineering Department at Montana State University.
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Table of Contents

CHAPTER 1 INTRODUCTION

Sections

1.1 What is LabVIEW

1.2 Assumptions

1.3 Conventions in the Text

1.4 LabVIEW VIs

1.5 Starting LabVIEW

1.6 Creating a VI

1.7 LabVIEW Menus

1.8 Key Terms

1.9 Summary

1.10 Self-Assessment

CHAPTER 2 LABVIEW BASICS

Sections

1.1 Opening a VI

1.2 Basic Math in LabVIEW–Using Functions

1.3 Programming Preview: While Loops

1.4 Dataflow Programming

1.5 Data Types and Conversions

1.6 Documenting VIs

1.7 Printing a VI

1.8 Saving Your Work

1.9 Closing a VI

1.10 Key Terms

1.11 Summary

1.12 Self-Assessment

1.13 Problems

CHAPTER 3 LABVIEW MATH FUNCTIONS

Sections

1.1 Introduction

1.2 Basic Math Functions

1.3 Trigonometric and Hyperbolic Trig. Functions

1.4 Exponential and Logarithm Functions

1.5 Boolean and Comparison Functions

1.6 Programming Preview: Debugging

1.7 Key Terms

1.8 Summary

1.9 Self-Assessment

1.10 Problems

CHAPTER 4 MATRIX MATH USING LABVIEW

Sections

1.1 Working with Matrices and Arrays in LabVIEW

1.2 Extracting a Subarray from a Larger Array or Matrix

1.3 Adding Arrays

1.4 Transpose Array

1.5 Multiplying an Array by a Scalar

1.6 Matrix Multiplication

1.7 Element by Element Multiplication

1.8 Condition Number

1.9 Matrix Determinant

1.10 Inverse Matrix

1.11 Solving Simultaneous Linear Equations

1.12 Programming Preview: For Loops

1.13 Key Terms

1.14 Summary

1.15 Self-Assessment

1.16 Problems

CHAPTER 5 DATA ACQUISITION WITH LABVIEW

Sections

1.1 Overview of Data Acquisition

1.2 Sensors, Signals and Signal Conditioning

1.3 Data Acquisition Hardware

1.4 Using LabVIEW to Collect Data

1.5 Key Terms

1.6 Summary

1.7 Self-Assessment

1.8 Problems

CHAPTER 6 GETTING DATA INTO AND OUT OF LABVIEW WITHOUT DATA ACQUISITION

Sections

1.1 Introduction

1.2 Writing LabVIEW Data to a Spreadsheet File

1.3 Writing LabVIEW Data to a Measurement File

1.4 Reading a LabVIEW Measurement File

1.5 Reading a Spreadsheet File in LabVIEW

1.6 Using Spreadsheet Data to Initialize a Matrix Control

1.7 Key Terms

1.8 Summary

1.9 Self-Assessment

1.10 Problems

CHAPTER 7 GRAPHING WITH LABVIEW

Sections

1.1 Introduction

1.2 Using Waveform Charts

1.3 Using Waveform Graphs

1.4 Modifying Graph Features

1.5 Generating 1D Arrays for Graphing

1.6 Putting LabVIEW Graphs to Work

1.7 Using XY Graphs–2D Plotting

1.8 3D Graphing

1.9 Getting Graphs onto Paper and into Reports

1.10 Key Terms

1.11 Summary

1.12 Self-Assessment

1.13 Problems

CHAPTER 8 DATA ANALYSIS USING LABVIEW VIS

Sections

1.1 Introduction

1.2 Basic Statistics

1.3 Interpolation

1.4 Curve Fitting

1.5 Regression

1.6 Key Terms

1.7 Summary

1.8 Self-Assessment

1.9 Problems

CHAPTER 9 PROGRAMMING IN LABVIEW

Sections

1.1 Introduction

1.2 LabVIEW Programming Basics, Expanded

1.3 Structures

1.4 Key Terms

1.5 Summary

1.6 Self-Assessment

1.7 Problems

CHAPTER 10 LOOKING FORWARD: ADVANCED MATH USING LABVIEW VIS

Sections

1.1 Introduction

1.2 Working with Polynomials

1.3 Statistics: Hypothesis Testing

1.4 Differentiation

1.5 Integration

1.6 Runge—Kutta Integration

1.7 Exponential Filter

1.8 Spectral Analysis

1.9 Monte Carlo Simulation

1.10 PID Controller

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