[eBook Code] Advanced Instrumentation and Computer I/O Design (eBook Code, 2nd)

Preface

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 27

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 108

5 Data Conversion Devices and Parameters 109

5-0 Introduction 109

5-1 Analog Multiplexers 109

5-2 Sample Hold Devices 112

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

Problems 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