Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis

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Rotating machinery is one of the major components of industries that suffer from various faults due to the constant workload. Therefore, a fast and reliable fault diagnosis method is essential for machine condition monitoring. In this study, noise eliminated ensemble empirical mode decomposition (NE...

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Bibliographic Details
Main Authors: Atik Faysal, Wai Keng Ngui, Meng Hee Lim, Mohd Salman Leong
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
convolution neural network
empirical mode decomposition
deep convolution generative adversarial network
continuous wavelet transform
Online Access:https://www.mdpi.com/1424-8220/21/23/8114

Internet

https://www.mdpi.com/1424-8220/21/23/8114

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