Noise eliminated ensemble empirical mode decomposition scalogram analysis for rotating machinery fault diagnosis

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Noise eliminated ensemble empirical mode decomposition scalogram analysis for rotating machinery fault diagnosis

Rotating machinery is one type of major industrial component that suffers from various faults and damage due to the constant workload to which it is subjected. Therefore, a fast and reliable fault diagnosis method is essential for machine condition monitoring. Artificial intelligence can be applied...

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Bibliographic Details
Main Author:	Atik, Faysal
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/35956/ http://umpir.ump.edu.my/id/eprint/35956/1/05.Noise%20eliminated%20ensemble%20empirical%20mode%20decomposition%20scalogram%20analysis.pdf

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