Nghiên cứu sinh
Nhóm nghiên cứu : LFI
Ngày đến : 12-01-2017
Địa chỉ : 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)
Ban lãnh đạo nghiên cứu : Christophe MARSALA
Đồng hướng dẫn : 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.

Bài báo khoa học 2018

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