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Modified EMD with double density wavelet based machinery abnormality detection


Article Information

Title: Modified EMD with double density wavelet based machinery abnormality detection

Authors: V. K. S. Basava Raju, B. V. Ramakrishna Reddy, T. Ravi, N. Mathan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 17

Language: English

Categories

Abstract

Machinery Vibration signal and analysis of the fault signal of rotating machine is one of the important for fault diagnosis and a method based on enforced de-noising and EMD with double density wavelet. In order to remove the hidden noise in the high frequency fault signal, the enforced threshold butterworth band pass filter is used. The proposed system decompose the signals into finite samples, using Modified EMD for number of stationary intrinsic mode function (IMFs), and the double density wavelet transform is used to convert the IMF’s of time domain to frequency domain. The proposed method could extract the fault condition effectively with less response time.


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