Application in Feature Extraction of AE Signal for Rolling Bearing in EEMD and Cloud Similarity Measurement

Application in Feature Extraction of AE Signal for Rolling Bearing in EEMD and Cloud Similarity Measurement

Due to the powerful ability of EEMD algorithm in noising, it is usually applied to feature extraction of fault signal of rolling bearing. But the selective correctness of sensitive IMF after decomposition can directly influence the correctness of feature extraction of fault signal. In order to solve...

Full description

Saved in:

Bibliographic Details
Main Authors:	Long Han, Chengwei Li, Liqun Shen
Format:	Article
Language:	English
Published:	Wiley 2015-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2015/752078
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON EEMD-CNN
by: LI SiQi, et al.
Published: (2020-01-01)

Rolling Bearing Fault Diagnosis Method based on EEMD Denoising and Correlation Coefficient Identification
by: Pei Junfeng, et al.
Published: (2018-01-01)

Remaining Useful Life Prediction Method of Rolling Bearings Based on Pchip-EEMD-GM(1, 1) Model
by: Fengtao Wang, et al.
Published: (2018-01-01)

Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network
by: Kai Chen, et al.
Published: (2017-01-01)

THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT
by: WU GuangHe, et al.
Published: (2016-01-01)

FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET
by: LI JingJiao, et al.
Published: (2018-01-01)

Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis
by: Long Zhang, et al.
Published: (2020-01-01)

The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value
by: Te Han, et al.
Published: (2016-01-01)

FAULT FEATURE EXTRACTION OF ROLLING ELEMENT BEARINGS BASED ON ADAPTIVE MCKD
by: CHEN BingYan, et al.
Published: (2020-01-01)

Research of the Fault Feature Extraction of Rolling Bearing based on Image Processing
by: Zhang Qiantu, et al.
Published: (2015-01-01)

Fault Feature Extraction for Rolling Bearing based on LMD Energy Entropy
by: Xu Le, et al.
Published: (2019-01-01)

Extraction of the Early Fault Feature of Rolling Bearing based on MED-RSSD
by: Yang Bin, et al.
Published: (2018-01-01)

WEAK FAULT FEATURE EXTRACTION OF ROLLING BEARING BASED ON PARAMETER OPTIMIZED MOMEDA AND CEEMDAN
by: HAN XueFei, et al.
Published: (2021-01-01)

Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
by: Xupeng Die, et al.
Published: (2020-01-01)

RESEARCH ON ROLLING BEARING FAULT FEATURE EXTRACTION METHOD WITH SGMD-MOMEDA (MT)
by: CAO YaLei, et al.
Published: (2022-01-01)

ROLLING BEARING FAULT FEATURE EXTRACTION RESEARCH BASED ON IMPROVED CEEMDAN AND RECONSTRUCTION
by: LIANG Kai, et al.
Published: (2019-01-01)

Feature Extraction of Weak Fault for Rolling Bearing based on CYCBD and Envelope Spectrum
by: Zhao Xiaotao, et al.
Published: (2020-04-01)

Feature Extraction of Weak Fault for Rolling Bearing based on Spectral Kurtosis and MOMEDA
by: Fuwang Liang, et al.
Published: (2021-02-01)

Feature Extraction of Weak Fault of Rolling Bearing based on TVF-EMD and TEO
by: Kexin Liu, et al.
Published: (2021-03-01)

Fault Feature Extraction of Rolling Bearing based on Improved EMD and Spectrum Kurtosis
by: Jing Shuangxi, et al.
Published: (2016-01-01)

Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing
by: Yutao Liu, et al.
Published: (2021-02-01)

Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD
by: Liu Peng, et al.
Published: (2015-01-01)

Feature Extraction of Weak Fault for Rolling Bearing based on Improved SSD Denoising
by: Xupeng Wang, et al.
Published: (2022-03-01)

Research on the Feature Selection of Rolling Bearings’ Degradation Features
by: Yaolong Li, et al.
Published: (2019-01-01)

Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis
by: Yan Tianxiao, et al.
Published: (2016-01-01)

Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition
by: Guo Yanfei, et al.
Published: (2023-05-01)

A Fault Feature Extraction Method of Rolling Bearings Based on Optimized VMD and UMAP
by: Liu Junli, et al.
Published: (2023-06-01)

Sparse Signal Representations of Bearing Fault Signals for Exhibiting Bearing Fault Features
by: Wei Peng, et al.
Published: (2016-01-01)

Gait Signal Analysis with Similarity Measure
by: Sanghyuk Lee, et al.
Published: (2014-01-01)

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
by: Hu Aijun, et al.
Published: (2017-01-01)

The Hybrid KICA-GDA-LSSVM Method Research on Rolling Bearing Fault Feature Extraction and Classification
by: Jiyong Li, et al.
Published: (2015-01-01)

Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising
by: Maohua Xiao, et al.
Published: (2018-01-01)

A New Time-frequency Domain Feature Extraction Method for Rolling Bearing Fault Diagnosis
by: Chen Junjie, et al.
Published: (2016-01-01)

Research of the Rolling Bearing Fault Feature Extraction Technology based on the Wavelet Noise Reduction and RSSD
by: Chen Baojia, et al.
Published: (2016-01-01)

Fault Feature Extraction of Rolling Bearing based on Blind Separation Noise Reduction by ITD and KICA
by: Liu Jiahui, et al.
Published: (2018-01-01)

A METHOD EXTRACTING TRANSIENT SIGNAL OF ROLLING BEARING BASED ON AUDITORY MODEL AND PROBABILITY OF EXTREME POINTS
by: WANG Bo, et al.
Published: (2018-01-01)

Feature Extraction of Faulty Rolling Element Bearing under Variable Rotational Speed and Gear Interferences Conditions
by: Dezun Zhao, et al.
Published: (2015-01-01)

Single Feature Extraction Method of Bearing Fault Signals Based on Slope Entropy
by: Erna Shi
Published: (2022-01-01)

The Circle Pure Rolling Method for Point Cloud Boundary Extraction
by: Quanou Yang, et al.
Published: (2024-12-01)

FAULT DIAGNOSIS OF ROLLING BEARING BASED ON UNSUPERVISED FEATURE ALIGNMENT
by: ZHANG Tao, et al.
Published: (2022-01-01)