Anomaly Detection for Bivariate Signals

Autor: Cottrell, Marie, Faure, Cynthia, Lacaille, Jérôme, Olteanu, Madalina

Publikováno v: Rojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in Computer Science

The anomaly detection problem for univariate or multivariate time series is a critical question in many practical applications as industrial processes control, biological measures, engine monitoring, supervision of all kinds of behavior. In this pape

Externí odkaz: http://arxiv.org/abs/2010.07420

Design Aircraft Engine Bivariate Data Phases using Change-Point Detection Method and Self-Organizing Maps

Autor: Bardet, Jean-Marc, Faure, Cynthia, Lacaille, Jérôme, Olteanu, Madalina

Publikováno v: ITISE 2017
ITISE 2017, Sep 2017, Grenade, Spain

International audience; Analysing multivariate time series created by sensors during a flight or a bench test represents a new challenge for aircraft engineers. Each time series can be decomposed univariately into a series of stabilised phases, well

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c465288e366befa6bcab1cea47861fa3
https://hal.science/hal-02022393

Indexation of numeric bench test records a big data vision.

Autor: Lacaille, Jerome, Bense, William, Berechet, Ion, Berechet, Stephan, Faure, Cynthia

Publikováno v: 2016 IEEE Aerospace Conference; 2016, p1-7, 7p