Data Acquisition and Signal Processing for Smart Sensors

CONTENTS

Preface

List of Abbreviations and Symbols

Introduction

1 Smart Sensors for Electrical and Non-Electrical, Physical and Chemical Variables: Tendencies and Perspectives

1.1 Temperature IC and Smart Sensors

1.2 Pressure IC and Smart Sensors and Accelerometers

1.3 Rotation Speed Sensors

1.4 Intelligent Opto Sensors

1.5 Humidity Frequency Output Sensors

1.6 Chemical and Gas Smart Sensors

Summary

2 Converters for Different Variables to Frequency-Time Parameters of the Electric Signal

2.1 Voltage-to-Frequency Converters (VFCs)

2.2 Capacitance-to-Period (or Duty-Cycle) Converters

Summary

3 Data Acquisition Methods for Multichannel Sensor Systems

3.1 Data Acquisition Method with Time-Division Channelling

3.2 Data Acquisition Method with Space-Division Channelling

3.3 Smart Sensor Architectures and Data Acquisition

3.4 Main Errors of Multichannel Data-Acquisition Systems

3.5 Data Transmission and Error Protection

3.5.1 Essence of quasi-ternary coding

3.5.2 Coding algorithm and examples

3.5.3 Quasi-ternary code decoding

Summary

4 Methods of Frequency-to-Code Conversion

4.1 Standard Direct Counting Method (Frequency Measurement)

4.2 Indirect Counting Method (Period Measurement)

4.3 Combined Counting Method

4.4 Method for Frequency-to-Code Conversion Based on Discrete Fourier Transformation

4.5 Methods for Phase-Shift-to-Code Conversion

Summary

5 Advanced and Self-Adapting Methods of Frequency-to-Code Conversion

5.1 Ratiometric Counting Method

5.2 Reciprocal Counting Method

5.3 M/T ...