TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Hammer, Christof
A1  - Sporrer, Sebastian
A1  - Warmer, Johannes
A1  - Kaul, Peter
A1  - Thoelen, Ronald
A1  - Jung, Norbert
T1  - Algorithms for Automatic Data Validation and Performance Assessment of MOX Gas Sensor Data Using Time Series Analysis
JF  - Algorithms
N2  - 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.
KW  - time series analysis
KW  - prioritizable ranking
KW  - feature
KW  - automatic measurement validation
KW  - slope based signature
KW  - MOX gas sensors
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-64490
SN  - 1999-4893
SS  - 1999-4893
U6  - https://doi.org/10.3390/a15100360
DO  - https://doi.org/10.3390/a15100360
VL  - 15
IS  - 10
SP  - 16
S1  - 16
PB  - MDPI
CY  - Basel
ER  -