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) null
: 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.