Intelligent Fault Diagnosis of Aeroengine Sensors Using Improved Pattern Gradient Spectrum Entropy

Timely and effective fault diagnosis of sensors is crucial to enhance the working efficiency and reliability of the aeroengine. A new intelligent fault diagnosis scheme combining improved pattern gradient spectrum entropy (IPGSE) and convolutional neural network (CNN) is proposed in this paper, aimi...

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Bibliographic Details
Main Authors: Huihui Li, Linfeng Gou, Hua Zheng, Huacong Li
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2021/8868875
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