1 Thermal, Mechanical, Quantum, and Analytical Sensors 1 1-0 Introduction
1 1-1 Instrumentation Error Interpretation
1 1-2 Temperature Sensors
4 1-3 Mechanical Sensors
7 1-4 Quantum Sensors 13
1-5 Analytical Sensors
18 Problems
25 Bibliography

2 Instrumentation Amplifiers and Parameter 29
2-0 Introduction 29
2-1 Device Temperature Characteristics 30
2-2 Differential Amplifiers 31
2-3 Operational Amplifiers 35
2-4 Instrumentation Amplifiers 39
2-5 Amplifier Parameter Error Evaluation 47
Problems 50
Bibliography 51
3 Filters for Measurement Signals 53
3-0 Introduction 53
3-1 Bandlimiting Instrumentation Filters 53
3-2 Active Filter Design 58
3-3 Filter Error Evaluation 68
3-4 Bandpass Instumentation Filters 73
Problems
82 Bibliography 83
4 Signal Conditioning Design and Instumentation Errors 85
4-0 Introduction 85 4-1 Low-Level Signal Acquisition 85
4-2 Signal Quality in Random and Coherent Interference 89
4-3 DC, Sinusoidal, and Harmonic Signal Conditioning 95
4-4 Analog Signal Processing 101
Problems 106 Bibliography
5 Data Conversion Devices and Parameters 109
5-0 Introduction 109
5-1 Analog Multiplexers 109
5-2 Sample Hold Devices 11
2 5-3 Digital-to-Analog Converters 115
5-4 Analog-to-Digital Converters 121
Problems 136
Bibliography 136
6 Sampled Data and Reconstruction with Intersample Error 139
6-0 Introduction 139
6-1 Sampled Data Theory 140
6-2 Aliasing of Signal and Noise 144
6-3 Sampled Data Intersample and Aperture Errors 150
6-4 Output Signal Interpolation Functions 156
6-5 Video Sampling and Reconstruction 165 P
roblems 166
Bibliography 167
7 Instrumentation Analysis Suite, Error Propagation, Sensor Fusion, and Interfaces 169
7-0 Introduction 169
7-1 Aerospace Computer I/O Design With Analysis Suite 169
7-2 Measurement Error Propagation in Example Airflow Process 183
7-3 Homogenerous and Heterogeneous Sensor Fusion 186
7-4 Instrumentation Integration and Interfaces 192
Problems 199
Bibliography 202
Appendix 203
8 Instumented Processes Decision and Control 207
8-0 Introduction 207
8-1 Process Apparatus Controlled Variability and Tuning 209
8-2 Model Reference to Remodeling Adaptive Control 220
8-3 Empirical to Intelligent Process Decision Systems 229
Problems 240
Bibliography 243
9 Process Automation Applications 245 9
-0 Introduction 245
9-1 Ashby Map Guided Equiaxed Titanium Forging 246
9-2 Z-Fit Modeled Spectral Control of Exfoliated Nanocomposites 247
9-3 Superconductor Production with Adaptive Decision and Control 250
9-4 Neural Network Attenuated Steel Annealing Hardness Variance 259
9-5 Ultralinear Molecular Beam Epitaxy Flux Calibration 263
Bibliography 269
Index 271

Advanced Instrumentation & Computer I/O Design, 2nd. Edition, employs comprehensive electronic device and circuit specifications to design custom defined-accuracy sensor instrumentation and computer interfacing systems with definitive accountability to assist critical applications