Kalman Filtering for Tribological Coatings
Abstract
Accurate prediction of tribological coatings is essential for the design, operation, and maintenance of food processing industries. Samples representative of food processing industries were characterized using complementary experimental techniques. The classifier attained an accuracy of 44% on the held-out test set. Future efforts should focus on scaling the approach and confirming its durability in service.
Keywords:
tribological coatingselectrochemical impedance spectroscopyphotovoltaic systemsnanocompositesremote sensingenergy efficiency
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