Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach

Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach

Recent advances in sensor technologies and data acquisition systems opened up the era of big data in the field of structural health monitoring (SHM). Data-driven methods based on statistical pattern recognition provide outstanding opportunities to implement a long-term SHM strategy, by exploiting me...

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Bibliographic Details
Main Authors: Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, Stefano Mariani
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
structural health monitoring
big data
statistical pattern recognition
time series analysis
Kullback–Leibler divergence
nearest neighbor
Online Access:https://www.mdpi.com/1424-8220/20/8/2328

Internet

https://www.mdpi.com/1424-8220/20/8/2328

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