OU - OER - Textbooks

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Browsing OU - OER - Textbooks by College/Department "Gallogly College of Engineering::School of Electrical and Computer Engineering"

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    Electromechanical Systems
    (2018-12-19) Davis, Chad
    This eBook was written as the third installment in the series that coincide with three engineering courses taught at the University of Oklahoma (ENGR 2431, ENGR 2531, and ENGR 3431). These courses were designed to provide non-major students – those not majoring in electrical or computer engineering (ECE) – a foundation in various ECE topics. ENGR 2431 is a prerequisite for both ENGR 2531 and ENGR 3431 and it is recommended that the DC Circuits book be studied prior to beginning the eBooks created for the other two courses. The following topics are covered in this book: LabVIEW Overview Module 1 – Number Systems and Character Encoding Module 2 – Digital Logic Module 3 – Measurement and Instrumentation Overview Module 4 – Sensors Module 5 – Power Systems Module 6 – Electric Machines Module 7 – Computer Communications Appendix A – Step by Step Guide to Digital, Analog, and Counter IOs in a DAQ
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    Measurement and Instrumentation: An Introduction to Concepts and Methods, 1st Edition
    (2020-08) Dyer, John W.; Davis, Chad E.
    Measurement and instrumentation are fundamental elements of many engineering projects. From research, to development, to manufacturing, to user products, engineers are constantly needing to measure things: brightness of a light, dimensions of an object, separation between things, frequency content, stress, strain, pressure, voltage, etc. In the real world measuring systems are not perfect, so the results of a measurement are only an estimate of the true value. Instrumentation for making measurements relies on some fundamental assumptions to ensure the veracity of the measurements. Some key elements are: bandwidth, sampling rate, dynamic range, sensor type, etc. This text discusses the basic concepts of what a measurement is, how the instrumentation chosen (or developed) can affect the measurement, and how to deal with the measurement error that is in all instrumentation systems. Topics include data acquisition, signal conditioning, sensor types, and measurement noise and its various noise distributions. The text concludes with three user projects that bring together these topics into an informative work that reinforces the theory.