# Decomposing Temperature Time Series with Non-Negative Matrix Factorization

@article{Weiderer2019DecomposingTT, title={Decomposing Temperature Time Series with Non-Negative Matrix Factorization}, author={Peter Weiderer and Ana Maria Tom{\'e} and Elmar Wolfgang Lang}, journal={CoRR}, year={2019}, volume={abs/1904.02217} }

- Published in ArXiv 2019

During the fabrication of casting parts sensor data is typically automatically recorded and accumulated for process monitoring and defect diagnosis. As casting is a thermal process with many interacting process parameters, root cause analysis tends to be tedious and ineffective. We show how a decomposition based on non-negative matrix factorization (NMF), which is guided by a knowledge-based initialization strategy, is able to extract physical meaningful sources from temperature time series… CONTINUE READING

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