Fundamentals of sensors for Engineering and Science / Patrick F. Dunn.

Format:

Book

Author/Creator:

Dunn, Patrick F.

Language:

English

Subjects (All):

Physical measurements--Textbooks.

Physical measurements.

Physical Description:

1 online resource (734 pages)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, 2019.

Summary:

A combination of two texts authored by Patrick Dunn, this set covers sensor technology as well as basic measurement and data analysis subjects, a combination not covered together in other references. Written for junior-level mechanical and aerospace engineering students, the topic coverage allows for flexible approaches to using the combination book in courses. MATLAB® applications are included in all sections of the combination, and concise, applied coverage of sensor technology is offered. Numerous chapter examples and problems are included, with complete solutions available.

Contents:

Volume I

Cover

Half Title

Title Page

Copyright Page

Contents

Preface

Author

1 Sensor Fundamentals

1.1 Chapter Overview

1.2 Role in a Measurement System

1.3 Domains

1.4 Characteristics

1.5 Scaling Considerations

1.6 Uncertainty

1.7 Calibration

1.8 Problems

Bibliography

2 Sensors in Engineering and Science

2.1 Chapter Overview

2.2 Physical Principles of Sensors

2.3 Electric

2.3.1 Resistive

2.3.2 Capacitive

2.3.3 Inductive

2.4 Piezoelectric

2.5 Fluid Mechanic

2.6 Optic

2.7 Photoelastic

2.8 Thermoelectric

2.9 Electrochemical

2.10 Problems

3 Human and Biomimetic Sensors

3.1 Chapter Overview

3.2 Human Sensors

3.2.1 Vision

3.2.2 Taste and Smell

3.2.3 Hearing and Equilibrium

3.2.4 Somatic

3.3 Biomimetic Sensors

3.4 Problems

Volume II

1 Fundamentals of Experimentation

1.1 Introduction

2 Experiments

2.2 Experimental Approach

2.3 Role of Experiments

2.4 The Experiment

2.5 Classification of Experiments

2.6 Plan for Successful Experimentation

2.7 Hypothesis Testing*

2.8 Design of Experiments*

2.9 Factorial Design*

3 Fundamental Electronics

3.2 Concepts and Definitions

3.2.1 Charge

3.2.2 Current

3.2.3 Force

3.2.4 Field

3.2.5 Potential

3.2.6 Resistance and Resistivity

3.2.7 Power

3.2.8 Capacitance

3.2.9 Inductance

3.3 Circuit Elements

3.3.1 Resistor

3.3.2 Capacitor

3.3.3 Inductor

3.3.4 Transistor

3.3.5 Voltage Source

3.3.6 Current Source

3.4 RLC Combinations

3.5 Elementary DC Circuit Analysis

3.5.1 Voltage Divider

3.5.2 Electric Motor with Battery.

3.5.3 Wheatstone Bridge

3.6 Elementary AC Circuit Analysis

3.7 Equivalent Circuits*

3.8 Meters*

3.9 Impedance Matching and Loading Error*

3.10 Electrical Noise*

3.11 Problems

4 Measurement Systems: Sensors and Transducers

4.1 Chapter Overview

4.2 Measurement System Overview

4.3 Sensor Domains

4.4 Sensor Characteristics

4.5 Physical Principles of Sensors

4.6 Electric

4.6.1 Resistive

4.6.2 Capacitive

4.6.3 Inductive

4.7 Piezoelectric

4.8 Fluid Mechanic

4.9 Optic

4.10 Photoelastic

4.11 Thermoelectric

4.12 Electrochemical

4.13 Sensor Scaling*

4.14 Problems

5 Measurement Systems: Other Components

5.1 Chapter Overview

5.2 Signal Conditioning, Processing, and Recording

5.3 Amplifiers

5.4 Filters

5.5 Analog-to-Digital Converters

5.6 Smart Measurement Systems

5.6.1 Sensors and Microcontroller Platforms

5.6.2 Arduino Microcontrollers

5.6.3 Wireless Transmission of Data

5.6.4 Using the MATLAB Programming Environment

5.6.5 Examples of Arduino Programming using Simulink

5.7 Other Example Measurement Systems

5.8 Problems

6 Measurement Systems: Calibration and Response

6.1 Chapter Overview

6.2 Static Response Characterization by Calibration

6.3 Dynamic Response Characterization

6.4 Zero-Order System Dynamic Response

6.5 First-Order System Dynamic Response

6.5.1 Response to Step-Input Forcing

6.5.2 Response to Sinusoidal-Input Forcing

6.6 Second-Order System Dynamic Response

6.6.1 Response to Step-Input Forcing

6.6.2 Response to Sinusoidal-Input Forcing

6.7 Measurement System Dynamic Response

6.8 Problems

7 Measurement Systems: Design-Stage Uncertainty

7.1 Chapter Overview

7.2 Design-Stage Uncertainty Analysis.

7.3 Design-Stage Uncertainty Estimate of a Measurand

7.4 Design-Stage Uncertainty Estimate of a Result

7.5 Problems

8 Signal Characteristics

8.1 Chapter Overview

8.2 Signal Classification

8.3 Signal Variables

8.4 Signal Statistical Parameters

8.5 Problems

9 The Fourier Transform

9.1 Chapter Overview

9.2 Fourier Series of a Periodic Signal

9.3 Complex Numbers and Waves

9.4 Exponential Fourier Series

9.5 Spectral Representations

9.6 Continuous Fourier Transform

9.7 Continuous Fourier Transform Properties*

9.8 Discrete Fourier Transform

9.9 Fast Fourier Transform

9.10 Problems

10 Digital Signal Analysis

10.1 Chapter Overview

10.2 Digital Sampling

10.3 Digital Sampling Errors

10.3.1 Aliasing

10.3.2 Amplitude Ambiguity

10.4 Windowing*

10.5 Determining a Sample Period

10.6 Problems

11 Probability

11.1 Chapter Overview

11.2 Relation to Measurements

11.3 Basic Probability Concepts

11.3.1 Union and Intersection of Sets

11.3.2 Conditional Probability

11.4 Sample versus Population

11.5 Plotting Statistical Information

11.6 Probability Density Function

11.7 Various Probability Density Functions

11.7.1 Binomial Distribution

11.7.2 Poisson Distribution

11.8 Central Moments

11.9 Probability Distribution Function

11.10 Problems

12 Statistics

12.1 Chapter Overview

12.2 Normal Distribution

12.3 Normalized Variables

12.4 Student's t Distribution

12.5 Rejection of Data

12.5.1 Single-Variable Outlier Determination

12.5.2 Paired-Variable Outlier Determination

12.6 Standard Deviation of the Means

12.7 Chi-Square Distribution

12.7.1 Estimating the True Variance

12.7.2 Establishing a Rejection Criterion.

12.7.3 Comparing Observed and Expected Distributions

12.8 Pooling Samples*

12.9 Problems

13 Uncertainty Analysis

13.1 Chapter Overview

13.2 Modeling and Experimental Uncertainties

13.3 Probabilistic Basis of Uncertainty

13.4 Identifying Sources of Error

13.5 Systematic and Random Errors

13.6 Quantifying Systematic and Random Errors

13.7 Measurement Uncertainty Analysis

13.8 Uncertainty Analysis of a Multiple-Measurement Result

13.9 Uncertainty Analyses for Other Measurement Situations

13.10 Uncertainty Analysis Summary

13.11 Finite-Difference Uncertainties*

13.11.1 Derivative Approximation*

13.11.2 Integral Approximation*

13.11.3 Uncertainty Estimate Approximation*

13.12 Uncertainty Based upon Interval Statistics*

13.13 Problems

14 Regression and Correlation

14.1 Chapter Overview

14.2 Least-Squares Approach

14.3 Least-Squares Regression Analysis

14.4 Linear Analysis

14.5 Higher-Order Analysis*

14.6 Multi-Variable Linear Analysis*

14.7 Determining the Appropriate Fit

14.8 Regression Confidence Intervals

14.9 Regression Parameters

14.10 Linear Correlation Analysis

14.11 Signal Correlations in Time*

14.11.1 Autocorrelation*

14.11.2 Cross-Correlation*

14.12 Problems

15 Units and Significant Figures

15.1 Chapter Overview

15.2 English and Metric Systems

15.3 Systems of Units

15.4 SI Standards

15.5 Technical English and SI Conversion Factors

15.5.1 Length

15.5.2 Area and Volume

15.5.3 Density

15.5.4 Mass and Weight

15.5.5 Force

15.5.6 Work and Energy

15.5.7 Power

15.5.8 Light Radiation

15.5.9 Temperature

15.5.10 Other Properties

15.6 Prefixes

15.7 Significant Figures

15.8 Problems

16 Technical Communication

16.1 Chapter Overview.

16.2 Guidelines for Writing

16.2.1 Writing in General

16.2.2 Writing Technical Memoranda

16.2.3 Number and Unit Formats

16.2.4 Graphical Presentation

16.3 Technical Memo

16.4 Technical Report

16.5 Oral Technical Presentation

16.6 Problems

A Glossary

B Symbols

C Review Problem Answers.

Notes:

Description based on print version record.

ISBN:

1-4398-7530-8

1-315-27539-2

1-351-99165-5

9781315275390

OCLC:

1102472814