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Iterative rolling difference-Z-score and machine learning imputation for wind turbine foundation monitoring

Fig 5

Illustrates the effectiveness of anomaly detection for features S1-4 across various algorithms, (a) Iterative Rolling Difference-Z-score, (b) Isolation Forest, (c) One-Class SVM, (d) DBSCAN, (e) LOF, (f) K-Means, (g) Gaussian Mixture Model.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0331213.g005