Uncertainty-aware data pipeline of calibrated MEMS sensors used for machine learning

Uncertainty-aware data pipeline of calibrated MEMS sensors used for machine learning

Sensors are a key element of recent Industry 4.0 developments and currently further sophisticated functionality is embedded into them, leading to smart sensors. In a typical “Factory of the Future” (FoF) scenario, several smart sensors and different data acquisition units (DAQs) will be used to moni...

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Bibliographic Details
Main Authors: Tanja Dorst, Maximilian Gruber, Benedikt Seeger, Anupam Prasad Vedurmudi, Tizian Schneider, Sascha Eichstädt, Andreas Schütze
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Measurement: Sensors
Subjects:
Machine learning
Dynamic measurement uncertainty
Interpolation
Time series
Predictive maintenance
Low cost sensor network
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917422000101

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http://www.sciencedirect.com/science/article/pii/S2665917422000101

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