The “DOLPHINS” Project: A Low-Cost Real-Time Multivariate Process Control From Large Sensor Arrays Providing Sparse Binary Data

The “DOLPHINS” Project: A Low-Cost Real-Time Multivariate Process Control From Large Sensor Arrays Providing Sparse Binary Data

The “DOLPHINS” project started in 2018 under a collaboration between three partners: CNH Industrial Iveco (CHNi), RADA (an informatics company), and the Chemistry Department of the University of Turin. The project’s main aim was to establish a predictive maintenance method in real-time at a pilot pl...

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Bibliographic Details
Main Authors: Eugenio Alladio, Marcello Baricco, Vincenzo Leogrande, Renato Pagliari, Fabio Pozzi, Paolo Foglio, Marco Vincenti
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Chemistry
Subjects:
predictive maintenance
machine learning
sparse binary data
multivariate data analysis
principal component analysis
soft independent modeling by class analogy
Online Access:https://www.frontiersin.org/articles/10.3389/fchem.2021.734132/full

Internet

https://www.frontiersin.org/articles/10.3389/fchem.2021.734132/full

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