The role of statistics in data-centric engineering

被引：13
作者：
Lau, F. Din-Houn [1 ,2 ]
Adams, Niall M. [1 ,4 ]
Girolami, Mark A. [1 ,2 ]
Butler, Liam J. [3 ]
Elshafie, Mohammed Z. E. B. [3 ,5 ]
机构：
[1] Imperial Coll London, Dept Math, London, England
[2] Alan Turing Inst, Lloyds Register Fdn Programme Data Centr Engn, London, England
[3] Univ Cambridge, Dept Engn, Cambridge Ctr Smart Infrastruct & Construct, Cambridge, England
[4] Imperial Coll London, Data Sci Inst, London, England
[5] Qatar Univ, Dept Civil & Architectural Engn, Doha, Qatar
来源：
STATISTICS & PROBABILITY LETTERS | 2018年 / 136卷
基金：
英国工程与自然科学研究理事会; “创新英国”项目;
关键词：
Big data; Data-centric engineering; Digital twin; Fibre-optic sensor; Instrumented infrastructure; Statistics; MOVING LOADS; FOUNDATION; BEAM;
D O I：
10.1016/j.spl.2018.02.035
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We explore the role of statistics for Big Data analysis arising from the emerging field of Data-Centric Engineering. Using examples related to sensor-instrumented bridges, we highlight a number of issues and challenges. These are broadly categorised as relating to uncertainty, latent-structure modelling, and the synthesis of statistical models and abstract physical models. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：58 / 62
页数：5
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