LabVIEW for Engineers

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

• CHAPTER 1 INTRODUCTION Sections1.1            What is LabVIEW1.2            Assumptions1.3            Conventions in the Text1.4            LabVIEW VIs1.5            Starting LabVIEW1.6            Creating a VI1.7            LabVIEW Menus1.8            Key Terms1.9            Summary1.10            Self-Assessment  CHAPTER 2 LABVIEW BASICS  Sections1.1            Opening a VI1.2            Basic Math in LabVIEW–Using Functions1.3            Programming Preview: While Loops1.4            Dataflow Programming1.5            Data Types and Conversions1.6            Documenting VIs1.7            Printing a VI1.8            Saving Your Work1.9            Closing a VI1.10            Key Terms1.11            Summary1.12            Self-Assessment1.13            ProblemsCHAPTER 3 LABVIEW MATH FUNCTIONS  Sections1.1            Introduction1.2            Basic Math Functions1.3            Trigonometric and Hyperbolic Trig. Functions1.4            Exponential and Logarithm Functions1.5            Boolean and Comparison Functions1.6            Programming Preview: Debugging1.7            Key Terms1.8            Summary1.9            Self-Assessment 1.10            ProblemsCHAPTER 4 MATRIX MATH USING LABVIEW  Sections1.1            Working with Matrices and Arrays in LabVIEW1.2            Extracting a Subarray from a Larger Array or Matrix1.3            Adding Arrays1.4            Transpose Array1.5            Multiplying an Array by a Scalar1.6            Matrix Multiplication1.7            Element by Element Multiplication1.8            Condition Number1.9            Matrix Determinant1.10            Inverse Matrix1.11            Solving Simultaneous Linear Equations 1.12            Programming Preview: For Loops1.13            Key Terms1.14            Summary1.15            Self-Assessment1.16            Problems  CHAPTER 5 DATA ACQUISITION WITH LABVIEW  Sections1.1            Overview of Data Acquisition1.2            Sensors, Signals and Signal Conditioning1.3            Data Acquisition Hardware1.4            Using LabVIEW to Collect Data1.5            Key Terms1.6            Summary1.7            Self-Assessment1.8            Problems  CHAPTER 6 GETTING DATA INTO AND OUT OF LABVIEW WITHOUT DATA ACQUISITION  Sections1.1            Introduction1.2            Writing LabVIEW Data to a Spreadsheet File1.3            Writing LabVIEW Data to a Measurement File1.4            Reading a LabVIEW Measurement File1.5            Reading a Spreadsheet File in LabVIEW1.6            Using Spreadsheet Data to Initialize a Matrix Control1.7            Key Terms1.8            Summary1.9            Self-Assessment1.10            ProblemsCHAPTER 7 GRAPHING WITH LABVIEW  Sections1.1            Introduction1.2            Using Waveform Charts1.3            Using Waveform Graphs1.4            Modifying Graph Features1.5            Generating 1D Arrays for Graphing1.6            Putting LabVIEW Graphs to Work1.7            Using XY Graphs–2D Plotting1.8            3D Graphing1.9            Getting Graphs onto Paper and into Reports1.10            Key Terms1.11            Summary1.12            Self-Assessment1.13            Problems    CHAPTER 8 DATA ANALYSIS USING LABVIEW VIS  Sections1.1            Introduction1.2            Basic Statistics1.3            Interpolation1.4            Curve Fitting1.5            Regression1.6            Key Terms1.7            Summary1.8            Self-Assessment1.9            Problems  CHAPTER 9 PROGRAMMING IN LABVIEW  Sections1.1            Introduction 1.2            LabVIEW Programming Basics, Expanded1.3            Structures1.4            Key Terms1.5            Summary1.6            Self-Assessment1.7            Problems    CHAPTER 10 LOOKING FORWARD: ADVANCED MATH USING LABVIEW VIS  Sections1.1            Introduction1.2            Working with Polynomials1.3            Statistics: Hypothesis Testing1.4            Differentiation1.5            Integration1.6            Runge—Kutta Integration1.7            Exponential Filter1.8            Spectral Analysis1.9            Monte Carlo Simulation1.10            PID Controller