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PhD student
Team : LFI
Arrival date : 01/12/2017
Localisation : Campus Pierre et Marie Curie
    Sorbonne Université - LIP6
    Boîte courrier 169
    Couloir 26-00, Étage 5, Bureau 516
    4 place Jussieu
    75252 PARIS CEDEX 05
Tel: +33 1 44 27 87 26, Iwo.Doboszewski (at)
Supervision : Christophe MARSALA
Co-supervision : UHL Tadeusz (Univ. AGH, Pologne)

Predictive Maintenance: Maintenance of traffic control devices – periodical or on demand: how to predict the necessary maintenance activities and avoid unneeded actions?

Goal of the thesis is providing framework for assessment of reliability and prediction of failure of specific devices. Main focus will be put to finding the right sources of information required to assess performance of devices, and application of statistical learning method for detection of correlations between reported measurements, activities and availability. Assessment of quality of chosen solution will be based on real-world data coming.

2018-2019 Publications

  • 2019
    • I. Doboszewski, S. Fossier, Ch. Marsala : “Data Driven Detection of Railway Point Machines Failures”, IEEE Symposium Series on Computational Intelligence (SSCI) - Computational Intelligence in Vehicles and Transportation Systems (CIVTS), Xiamen, China, pp. 1233-1240 (2019)
  • 2018
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