Interaction models for remaining useful life estimation
- URL: http://arxiv.org/abs/2301.05029v1
- Date: Tue, 10 Jan 2023 18:23:29 GMT
- Title: Interaction models for remaining useful life estimation
- Authors: Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
- Abstract summary: The paper deals with the problem of controlling the state of industrial devices according to the readings of their sensors.
We proposed a technique to build a scalable model that combines multiple different feature extractor blocks.
A new model based on sequential sensor space analysis achieves state-of-the-art results on the C-MAPSS benchmark for equipment remaining useful life estimation.
- Score: 0.49109372384514843
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: The paper deals with the problem of controlling the state of industrial
devices according to the readings of their sensors. The current methods rely on
one approach to feature extraction in which the prediction occurs. We proposed
a technique to build a scalable model that combines multiple different feature
extractor blocks. A new model based on sequential sensor space analysis
achieves state-of-the-art results on the C-MAPSS benchmark for equipment
remaining useful life estimation. The resulting model performance was validated
including the prediction changes with scaling.
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