Algorithms for Automatic Data Validation and Performance Assessment of MOX Gas Sensor Data Using Time Series Analysis
- The following work presents algorithms for semi-automatic validation, feature extraction and ranking of time series measurements acquired from MOX gas sensors. Semi-automatic measurement validation is accomplished by extending established curve similarity algorithms with a slope-based signature calculation. Furthermore, a feature-based ranking metric is introduced. It allows for individual prioritization of each feature and can be used to find the best performing sensors regarding multiple research questions. Finally, the functionality of the algorithms, as well as the developed software suite, are demonstrated with an exemplary scenario, illustrating how to find the most power-efficient MOX gas sensor in a data set collected during an extensive screening consisting of 16,320 measurements, all taken with different sensors at various temperatures and analytes.
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| Document Type: | Article |
|---|---|
| Language: | English |
| Author: | Christof Hammer, Sebastian Sporrer, Johannes Warmer, Peter Kaul, Ronald Thoelen, Norbert Jung |
| Parent Title (English): | Algorithms |
| Volume: | 15 |
| Issue: | 10 |
| Article Number: | 360 |
| Number of pages: | 16 |
| ISSN: | 1999-4893 |
| URN: | urn:nbn:de:hbz:1044-opus-64490 |
| DOI: | https://doi.org/10.3390/a15100360 |
| Publisher: | MDPI |
| Place of publication: | Basel |
| Publishing Institution: | Hochschule Bonn-Rhein-Sieg |
| Date of first publication: | 2022/09/28 |
| Copyright: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. |
| Funding: | This research received internal funding from the Institute of Safety and Security Research (ISF) at BRS-U. |
| Keywords: | MOX gas sensors; automatic measurement validation; feature; prioritizable ranking; slope based signature; time series analysis |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Fachbereich Angewandte Naturwissenschaften | |
| Institut für Sicherheitsforschung (ISF) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Open access funding: | Hochschule Bonn-Rhein-Sieg / Publikationsfonds / Förderung durch den Publikationsfonds der H-BRS |
| Entry in this database: | 2022/10/12 |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
