LabVIEW Applications and Solutions
LabVIEW brings the power and flexibility of graphical programming to virtually every technical discipline. This robust and elegant language is used to build measurement and automation applications in semiconductor, automotive, chemical, and other industries. Once you've learned the basics of LabVIEW, you can master its intricacies and fine tune your skills to create the customized tools you've been looking for. It's perfect for measurement, automation, simulation, and analysis of all types of data. LabVIEW Applications and Solutions gives you the expertise to develop your own virtual instruments, starting with a review of the theoretical foundations, illustrating each function with copious practical examples, and introducing LabVIEW 5.0 features. LabVIEW Applications and Solutions is a great textbook or reference for working engineers, scientists, and students. Managers and decision-makers will also love the way it explains how to put LabVIEW to work in your own organization.
- Paperback | 464 pages
- 175.26 x 231.14 x 25.4mm | 476.27g
- 01 Feb 1999
- Pearson Education (US)
- Prentice Hall
- Upper Saddle River, United States
Table of contents
1. Virtual Instruments. Introduction. Programming Paradigms. Virtual Instrumentation. Definition--Virtual Instruments. Software Aspects. Summary.2. LabVIEW Basics. Introduction. Program Structures. Hierarchy and Modularity. Multitasking, Multithreading, and Multiprocessing. Debugging. Platform Independence. Openness. Graphical Compiler. Documentation. Summary.3. Data Acquisition and Instrument Control in LabVIEW. LabVIEW and DAQ. LabVIEW and VISA. LabVIEW and the GPIB Bus. LabVIEW and VXI. LabVIEW and PXI. LabVIEW and the Universal Serial Bus.4. Commercial Communication Applications in LabVIEW. File Sharing. Communication Protocols. OPC--OLE for Process Control. Measuring and Process Control and the Internet. LabVIEW Port I/O under Windows NT 4.0. Database Access with LabVIEW.5. LabVIEW and Automation Technology. From LabVIEW to BridgeVIEW. LabVIEW and CAN. LabVIEW and HART.6. LabVIEW and Fuzzy Logic. Introduction. Basics--Fuzzy Logic and Fuzzy Control. Implementing Fuzzy Controllers in LabVIEW.7. LabVIEW and Genetic Algorithms. Basics--Evolution Strategies or Genetic Algorithms. Sample Application. Summary.8. Mathematics and Simulation in LabVIEW. Introduction. Adapting Measurement Values. Solving Differential Equations. Solving Wave Equations. Visualizing the Gibbs Phenomenon. Summary.9. Fourier Transformation in LabVIEW. Introduction. Sampling Analog Signals. Fourier Transformation. Inverse Fourier Transform. Discrete Fourier Transform. Spectral Functions. Leakage Effect. Window Functions. Fourier Transform Properties. The Wiener-Khintchine Theorem. Discrete Convolution. Correlation Theorem. Discrete Correlation. Summary.10. Time-Frequency Analysis of Signals. Introduction. What Is Time-Frequency Analysis? Benefits and Drawbacks of Spectrograms. Characterization of Time and Frequency. The Wigner Distribution. Cohen's Class. Time-Frequency Analysis in LabVIEW. Selecting a Spectrogram. Time-Frequency Analyzer. Real-World Applications. Summary.11. Designing Digital Filters in LabVIEW. Digital Filter Design Process. Digital Filter Design Application. A Design Example. Summary.12. Image Processing in LabVIEW. Introduction. Setting Up Your Image Processing Equipment. Camera and Lens. Lighting Conditions. Image Acquisition Cards and Drivers. Image Acquisition and Configuration Software. IMAQ Vision Image Processing Software. Sample Application in LabVIEW. Summary.13. Quality, Reliability, and Maintainability of LabVIEW Programs. Introduction. Hardware Reliability. Software Reliability. Reliability and Performance in LabVIEW. LabVIEW Benefits. Summary.14. Statistical Process Control in LabVIEW. Introduction. SPC Methods. Control Charts. Process Capability Analysis. Pareto Analysis. SPC Tools in LabVIEW. Summary.15. LabVIEW and Quality Management. Introduction. Using LabVIEW for Calibration and Qualification. Summary.16. LabVIEW in Medical Applications. Introduction. Biosignals. Characterizing Biosignals. Developing a Digital Acquisition System. Sample Application in LabVIEW. Summary.17. BioBench. Introduction. BioBench Capabilities. Compatibility and Cost Effectiveness. BioBench Applications. Summary.18. Control and Simulation in G--An Integrated Environment for Dynamic Systems. Introduction. Need for Control and Simulation Software. GSIM and LabVIEW. General Simulation Structure. Typical GSIM Applications. A First Example. A Second Example. Case Study 1: Simulation Analysis of Relay Feedback Technique. Case Study 2: Inverted Pendulum. GSIM Programs--A Step-by-Step Approach. Another Example: PID Controllers in GSIM. Some Restrictions and Hints. Further Developments.19. Network-centric Test and Measurement System. Introduction. Fields of Application. Hardware. Software. Summary.Bibliography. Glossary. Index.