Improving the Performance of Gas Sensor Systems with Advanced Data Evaluation, Operation, and Calibration Methods.
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| Superior document: | Linköping Studies in Science and Technology. Dissertations Series ; v.2009 |
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| Place / Publishing House: | Linköping : : Linkopings Universitet,, 2019. {copy}2019. |
| Year of Publication: | 2019 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Online Access: | |
| Physical Description: | 1 online resource (298 pages) |
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Table of Contents:
- Intro
- Abstract
- Zusammenfassung
- Sammanfattning
- Populärvetenskaplig sammanfattning
- Contents
- Preface
- Introduction
- Sensors
- Chemical sensors
- The nose as biological role model
- Sensor parameters
- Detection principles and sensor technologies
- Approaches to selectivity enhancement
- The need for chemical sensors
- Safety and security
- Process control
- Air quality monitoring
- Olfaction
- Health
- Sensor systems and measurement chain
- Data evaluation
- Multivariate data and data-driven models
- Nomenclature and data format
- Preprocessing
- Dimensionality reduction, feature extraction and selection
- Classification and quantification
- Training, validation, and testing
- DAV3E
- History and motivation
- General programmatic concepts
- Data structure
- Interactive visualization
- Data selection and annotation
- Global pools
- Scales
- Data fusion
- Cycles of equal length
- Cycles with different lengths
- Data-driven models
- Data reduction and augmentation
- Preprocessing
- Validation and testing
- Hyperparameter optimization
- Hierarchical models
- DAV3E in research and teaching
- Gas-sensitive field effect transistors
- Gas-sensitive field-effect devices
- MIS capacitor
- MIS FET
- Gas-sensitive field-effect transistor
- Hardware and software
- Sensor devices
- Hardware and electronics
- Software
- Materials
- Overview
- Tungsten trioxide
- Preparation
- Response and features
- Classification and quantification
- Stability
- Conclusion
- Influence of the gate bias
- Signal compensation
- Electrically promoted spill-over
- Gate bias cycled operation
- Conclusion
- Influence of light
- Testing and evaluation
- Gas sensor calibration
- Test gas generation
- Hardware
- LMT
- Other gas mixing concepts
- Software
- Graph model
- User interface.
- Solving the graph
- Substances and concentration units
- Uncertainties
- Interlaboratory study
- Experimental setup
- Formaldehyde quantification
- TVOC quantification
- Field tests
- GasFET field test system
- Field test
- Random mixtures calibration
- Calibration profile
- Sensor system performance
- Comparison with sequential calibration
- Conclusion and outlook
- Conclusion
- Outlook
- Bibliography
- Own publications
- Peer-reviewed journal papers
- Peer-reviewed conference contributions
- Other publications
- Acronyms
- List of Figures
- List of Tables
- List of Listings
- Acknowledgments
- Appendix
- Listings
- Synthetic data generation for fusion algorithms
- Randomized gas exposure generation
- PCBs and schematics
- 3S GasFET electronics extension board
- TO-8 header adapter board.