A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems

A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems

The application of intelligent systems for structural health monitoring is investigated. A change in the nominal configuration can be related to a structural defect that has to be monitored before it reaches a critical condition. Evidently, the ability to automatically detect changes in a structure...

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Bibliographic Details
Main Authors: Francesco Morgan Bono, Luca Radicioni, Simone Cinquemani, Gianluca Bombaci
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
structural health monitoring
fault detection
neural networks
convolutional autoencoder
physics-informed neural network
Online Access:https://www.mdpi.com/2076-3417/13/9/5683

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https://www.mdpi.com/2076-3417/13/9/5683

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