竞赛
水准点(测量)
振动
计算机科学
瞬态(计算机编程)
国家(计算机科学)
要素(刑法)
工程类
航空学
声学
政治学
法学
地理
算法
物理
操作系统
大地测量学
作者
Jérôme Antoni,Julien Griffaton,Hugo André,Luis David Avendaño-Valencia,Frédéric Bonnardot,Oscar Cardona-Morales,G. Castellanos-Domínguez,Alessandro Paolo Daga,Quentin Leclère,Cristián Molina Vicuña,David Quezada Acuña,Agusmian Partogi Ompusunggu,Edgar F. Sierra-Alonso
标识
DOI:10.1016/j.ymssp.2017.01.037
摘要
This paper presents the content and outcomes of the Safran contest organized during the International Conference Surveillance 8, October 20–21, 2015, at the Roanne Institute of Technology, France. The contest dealt with the diagnosis of a civil aircraft engine based on vibration data measured in a transient operating mode and provided by Safran. Based on two independent exercises, the contest offered the possibility to benchmark current diagnostic methods on real data supplemented with several challenges. Outcomes of seven competing teams are reported and discussed. The object of the paper is twofold. It first aims at giving a picture of the current state-of-the-art in vibration-based diagnosis of rolling-element bearings in nonstationary operating conditions. Second, it aims at providing the scientific community with a benchmark and some baseline solutions. In this respect, the data used in the contest are made available as supplementary material.
科研通智能强力驱动
Strongly Powered by AbleSci AI