Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System

Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System

To investigate problems involving wind turbines that easily occur but are hard to diagnose, this paper presents a wind turbine (WT) fault diagnosis algorithm based on a spectrogram and a convolutional neural network. First, the original data are sampled into a phonetic form. Then, the data are trans...

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Bibliographic Details
Main Authors: Wenxin Yu, Shoudao Huang, Weihong Xiao
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
spectrogram
convolutional neural network
wind turbine
fault diagnosis
Online Access:http://www.mdpi.com/1996-1073/11/10/2561

Internet

http://www.mdpi.com/1996-1073/11/10/2561

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