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From Large Time Series to Patterns Movies: Application to Airbus Helicopters Flight Data

Abstract : Huge amount of multivariate time series (TS) data are recorded by helicopters in operation, such as oil temperature, oil pressure, altitude, rotor speed to mention a few. Despite the effort deployed by Airbus Helicopters towards an effective use of those TS data, getting meaningful and intuitive representations of them is a never ending process, especially for domain experts who have a limited time budget to get the main insights delivered by data scientists. In this paper, we introduce a simple yet powerful and scalable technique for visualizing large amount of TS data through patterns movies. We borrow the co-occurrence matrix concept from image processing, to create 2D pictures, seen as patterns, from any multivariate TS according to two dimensions over a given period of time. The cascade of such patterns over time produces so-called patterns movies, offering in a few seconds a visualisation of helicopter' parameters in operation over a long period of time, typically one year. We have implemented and conducted experiments on Airbus Helicopters flight data. First outcomes of domain experts on patterns movies are presented.
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Contributor : Jean Marc Petit Connect in order to contact the contributor
Submitted on : Wednesday, August 25, 2021 - 11:36:29 AM
Last modification on : Wednesday, September 15, 2021 - 4:36:29 PM
Long-term archiving on: : Friday, November 26, 2021 - 7:51:37 PM


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Benjamin Chazelle, Pierre-Loic Maisonneuve, Ammar Mechouche, Jean-Marc Petit, Vasile-Marian Scuturici. From Large Time Series to Patterns Movies: Application to Airbus Helicopters Flight Data. 25th European Conference on Advances in Databases and Information Systems (ADBIS 2021), Aug 2021, Tartu, Estonia. pp.213-226, ⟨10.1007/978-3-030-82472-3_16⟩. ⟨hal-03325749⟩



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