Enhancement of Fault Feature Extraction from Displacement Signals by Suppressing Severe End Distortions via Sinusoidal Wave Reduction

Enhancement of Fault Feature Extraction from Displacement Signals by Suppressing Severe End Distortions via Sinusoidal Wave Reduction

Displacement signals, acquired by eddy current sensors, are extensively used in condition monitoring and health prognosis of electromechanical equipment. Owing to its sensitivity to low frequency components, the displacement signal often contains sinusoidal waves of high amplitudes. If the digitizat...

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Bibliographic Details
Main Authors: Binqiang Chen, Qixin Lan, Yang Li, Shiqiang Zhuang, Xincheng Cao
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
rotating machine
fault diagnosis displacement signals
wavelet analysis
Fourier transform
signal enhancement
Online Access:https://www.mdpi.com/1996-1073/12/18/3536

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https://www.mdpi.com/1996-1073/12/18/3536

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