Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling

Author:

Sarmadi HassanORCID,Yuen Ka-VengORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference59 articles.

1. State-of-the-art review on the causes and mechanisms of bridge collapse;Deng;J. Perform. Constr. Facil.,2016

2. Structural Health Monitoring: A Machine Learning Perspective;Farrar,2013

3. Sensor Technologies for Civil Infrastructures: Sensing Hardware and Data Collection Methods for Performance Assessment;Wang,2014

4. A review of vibration-based damage detection in civil structures: from traditional methods to Machine Learning and Deep Learning applications;Avci;Mech. Syst. Sig. Process.,2021

5. Machine Learning: A Probabilistic Perspective;Murphy,2012

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