Applied Measurement Engineering
Download Applied Measurement Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applied Measurement Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Applied Measurement Engineering
This book offers a relatively non- mathematical, real-world look at the design and operation of the complex measurement systems used in the experimental mechanics testing business where the over-arching requirement is test data that is valid beyond the question of a doubt, delivered on time, and economically affordable. It tells engineers what they need to know to survive on a daily basis in such test laboratories in today's high pressure, competitive and leveraged, cost driven, process-oriented test world. Explains the 10 crucial technical issues that must be understood and under control at all times if effective and perceptive measurements are to be made on a daily basis in the test laboratory. Also discusses a working philosophy, responsibility and engineering ethcis, and management of the measurements activity. Features, here for the first time, The Measurement Contract, a definition of who owes what to whom when working in a really effective test laboratory. For any and all engineers and engineering managers responsible for the timely delivery of demonstrably valid test data in testing laboratories or whose organizations product quality depends on that testing.
Sensors and Measurement Systems
Sensors and measurement systems is an introduction to microsensors for engineering students in the final undergraduate or early graduate level, technicians who wants to know more about the systems they are using, and anybody curious enough to know what microsystems and microsensors can do. The book discusses five families of sensors: - Thermal sensors - Force and pressure sensors- Inertial sensors - Magnetic field sensors- Flow sensorsFor each sensor, theoretical, technology and application aspects are examined. The sensor function is modelled to understand sensitivity, resolution and noise. We ask ourselves: What do we want to measure? What are possible applications? How are the sensor chips made in the cleanroom? How are they mounted and integrated in a system?After reading this book, you should be able to:- Understand important thermal, mechanical, inertial and magnetic sensors- Work with characterization parameters for sensors- Choose sensors for a given application and apply them- Understand micromachining technologies for sensors
Measurement Uncertainty
Author: Simona Salicone
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-06-04
It is widely recognized, by the scienti?c and technical community that m- surements are the bridge between the empiric world and that of the abstract concepts and knowledge. In fact, measurements provide us the quantitative knowledge about things and phenomena. It is also widely recognized that the measurement result is capable of p- viding only incomplete information about the actual value of the measurand, that is, the quantity being measured. Therefore, a measurement result - comes useful, in any practicalsituation, only if a way is de?ned for estimating how incomplete is this information. The more recentdevelopment of measurement science has identi?ed in the uncertainty concept the most suitable way to quantify how incomplete is the information provided by a measurement result. However, the problem of how torepresentameasurementresulttogetherwithitsuncertaintyandpropagate measurementuncertaintyisstillanopentopicinthe?eldofmetrology,despite many contributions that have been published in the literature over the years. Many problems are in fact still unsolved, starting from the identi?cation of the best mathematical approach for representing incomplete knowledge. Currently, measurement uncertainty is treated in a purely probabilistic way, because the Theory of Probability has been considered the only available mathematical theory capable of handling incomplete information. However, this approach has the main drawback of requiring full compensation of any systematic e?ect that a?ects the measurement process. However, especially in many practical application, the identi?cation and compensation of all s- tematic e?ects is not always possible or cost e?ective.