Stacked Denoising Autoencoder With Density-Grid Based Clustering Method for Detecting Outlier of Wind Turbine Components

Different types of outliers have existed in the monitoring data of wind turbines, which are not conducive to the follow-up data mining. However, the complex inner characteristics of the monitoring data pose major challenges to detect the outliers. To address this problem, an unsupervised outlier det...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Zexian Sun, Hexu Sun
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Density-grid based clustering outlier detection stacked denoising autoencoder unsupervised learning
Online Access:	https://ieeexplore.ieee.org/document/8620681/