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Measurement and Instrumentation: Theory and Application

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TLDR
This book introduces undergraduate engineering students to the measurement principles and the range of sensors and instruments that are used for measuring physical variables, and provides students with the knowledge and tools to design and build measurement systems for virtually any engineering application.
Abstract
"Measurement and Instrumentation" introduces undergraduate engineering students to the measurement principles and the range of sensors and instruments that are used for measuring physical variables. Based on Morris' "Measurement and Instrumentation Principles", this brand new text has been fully updated with coverage of the latest developments in such measurement technologies as smart sensors, intelligent instruments, microsensors, digital recorders and displays and interfaces. Clearly and comprehensively written, this textbook provides students with the knowledge and tools, including examples in LABVIEW, to design and build measurement systems for virtually any engineering application. The text features chapters on data acquisition and signal processing with LabVIEW from Dr. Reza Langari, Professor of Mechanical Engineering at Texas A&M University. Early coverage of measurement system design provides students with a better framework for understanding the importance of studying measurement and instrumentation. It includes significant material on data acquisition, coverage of sampling theory and linkage to acquisition/processing software, providing students with a more modern approach to the subject matter, in line with actual data acquisition and instrumentation techniques now used in industry. Extensive coverage of uncertainty (inaccuracy) aids students' ability to determine the precision of instruments. Integrated use of LabVIEW examples and problems enhances students' ability to understand and retain content.

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Journal ArticleDOI

State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises

TL;DR: Two kinds of strategies for joint parameter‐state robust estimation of linear stochastic models in presence of all possible faults and non‐Gaussian noises are proposed.
Journal ArticleDOI

Giant Magnetoresistance Sensors: A Review on Structures and Non-Destructive Eddy Current Testing Applications

TL;DR: The structure and principles of GMR sensors, the principles and types of eddy current testing probe that have been studied and developed by previous researchers, and the limitations of coil probe and compensation techniques that researchers have applied in eddyCurrent testing probes are described.
Dissertation

Investigation of a Sweep Technique for Microphone Placement

TL;DR: This thesis investigated a microphone sweep technique and remote microphone positioning as methods for identifying and evaluating microphone placements.
Journal ArticleDOI

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease

TL;DR: This study has demonstrated that the voices of PD patients has reduced FD, and NMI between voice recordings of PD–CO and PD–PD is higher compared with CO–CO, suggesting that the use of NMI obtained from the sample voice, when paired with known groups of CO and PD, can be used to identify PD voices.
Journal ArticleDOI

Plantar shear stress measurements - A review.

TL;DR: Even with the limitations of current plantar shear stress measurement technologies, they can provide useful information on the plantar stress distribution.