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Research article

First published 2018-3

Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm

Young-Jin Cha, Zilong Wang

Structural Health Monitoring

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Research article

First published 2009-5

Novelty detection with application to data streams

Eduardo J. Spinosa, André Ponce de Leon F. de Carvalho, João Gama

Intelligent Data Analysis: An International Journal

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Research article

First published 2021-8

A novel approach to machining process fault detection using unsupervised learning

Thomas McLeay, Michael S Turner, Keith Worden

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2014-3

Unsupervised density-based behavior change detection in data streams

Rosane M.M. Vallim, José A. Andrade Filho, Rodrigo F. de Mello [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2020-11

Bayesian anomaly detection and classification for noisy data

Ethan Roberts, Bruce A. Bassett, Michelle Lochner

International Journal of Hybrid Intelligent Systems

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Research article

First published 2024-11

Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances

Ali Nikdel, Hashem Shariatmadar

Structural Health Monitoring

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Research article

First published 1997-12

Interpretation of Raman Spectra of Nitro-Containing Explosive Materials. Part II: The Implementation of Neural,Fuzzy,and Statistical Models for Unsupervised Pattern Recognition

Nelson W. Daniel, Ian R. Lewis, Peter R. Griffiths

Applied Spectroscopy

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Research article

First published 2022-8

An unsupervised data-driven approach for wind turbine blade damage detection under passive acoustics-based excitation

Jaclyn Solimine, Murat Inalpolat

Wind Engineering

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Research article

First published 2021-1

Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage

Zilong Wang, Young-Jin Cha

Structural Health Monitoring

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Research article

First published 2021-7

A hybrid learning strategy for structural damage detection

Lorena Andrade Nunes, Rafaelle Piazzaroli Finotti Amaral, Flávio de Souza Barbosa [...]

Structural Health Monitoring

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