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Machine Learning for Structural Health Monitoring by Anirudh Kumar is a document available to read on EtoBox.

What is Machine Learning for Structural Health Monitoring about?

This document summarizes a research project that uses machine learning algorithms to analyze structural health monitoring data and predict damage to structures during extreme events like earthquakes. Acceleration data was collected from sensors on a model structure under undamaged and damaged states. Damage sensitive features were extracted from the data and used to train classification algorithms like naive Bayes, Gaussian discriminant analysis, logistic regression, and support vector machines to predict d

Author

Anirudh Kumar

Language

EN