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Convolutional Autoencoders for Health Indicators Extraction in Piezoelectric Sensors

  • We present a method for extracting health indicators from piezoelectric sensors applied in the case of microfluidic valves. Convolutional autoencoders were used to train a model on the normal operating conditions and tested on signals of different valves. The results of the model performance evaluation, as well as, the qualitative presentation of the indicator plots for each tested component, showed that the used approach is capable of detecting features that correspond to increasing component degradation. The extracted health indicators are the prerequisite and input for reliable remaining useful life prediction.

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Metadaten
Author: Ivan Kraljevski, Frank Duckhorn, Constanze Tschöpe, Matthias WolffORCiD
URL:https://ieeexplore.ieee.org/document/9323023
DOI:https://doi.org/10.1109/SENSORS47125.2020.9323023
ISBN:978-1-7281-6801-2
Title of the source (English):2020 IEEE Sensors, 25-28 Oct. 2020, Rotterdam, Netherlands,
Place of publication:Rotterdam, Netherlands
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2020
Contributing Corporation:IEEE
First Page:1
Last Page:4
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Kommunikationstechnik
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