A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis

A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis

To realize the accurate fault detection of rolling element bearings, a novel fault detection method based on non-stationary vibration signal analysis using weighted average ensemble empirical mode decomposition (WAEEMD) and modulation signal bispectrum (MSB) is proposed in this paper. Bispectrum is...

Full description

Bibliographic Details
Main Authors:	Dong Zhen, Junchao Guo, Yuandong Xu, Hao Zhang, Fengshou Gu
Format:	Article
Language:	English
Published:	MDPI AG 2019-09-01
Series:	Sensors
Subjects:	weighted average ensemble empirical mode decomposition modulation signal bispectrum Teager energy kurtosis fault detection rolling element bearing
Online Access:	https://www.mdpi.com/1424-8220/19/18/3994

Similar Items

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

The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
by: Peng Sun, et al.
Published: (2017-03-01)

Rolling Bearing Fault Diagnosis Based on Optimal Notch Filter and Enhanced Singular Value Decomposition
by: Bin Pang, et al.
Published: (2018-06-01)

Early Fault Extraction of Rolling Bearing based on LMD and MCKD
by: Wang Jianguo, et al.
Published: (2018-01-01)

Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO
by: Xiaozheng Xie, et al.
Published: (2021-01-01)

Application of Teager–Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings
by: Xiangfu Shi, et al.
Published: (2022-09-01)

Research on Extraction of Compound Fault Characteristics for Rolling Bearings in Wind Turbines
by: Ling Xiang, et al.
Published: (2020-06-01)

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

Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold
by: Xueying Zhang, et al.
Published: (2019-12-01)

Fault Diagnosis of Rolling Bearings based on VMD and Symmetric Difference Energy Operator Demodulation
by: Qin Bo, et al.
Published: (2017-01-01)

Application of Time Domain Index and Kurtosis analysis Method in the Fault Diagnosis of Rolling Bearing
by: Guo Qingfeng, et al.
Published: (2016-01-01)

RESEARCH ON FAULT DIAGNOSIS METHOD OF ROLLING BEAR BASED ON SYMBOLIC ANALYSIS OF INTRINSIC MODE FUNCTION
by: HOU HePing, et al.
Published: (2016-01-01)

A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA
by: Kang Yi, et al.
Published: (2023-10-01)

Fault Feature Research of Rolling Bearing based on Empirical Mode Decomposition and Principle Component Analysis
by: Zheng Xin
Published: (2016-01-01)

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

Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy
by: Weibo Zhang, et al.
Published: (2019-05-01)

A novel fault diagnostic system for rolling element bearings using deep transfer learning on bispectrum contour maps
by: Chhaya Grover, et al.
Published: (2022-07-01)

An Improved VMD With Empirical Mode Decomposition and Its Application in Incipient Fault Detection of Rolling Bearing
by: Fan Jiang, et al.
Published: (2018-01-01)

Research on Fault Feature Extraction Method of Rolling Bearing Based on SSA–VMD–MCKD
by: Zichang Liu, et al.
Published: (2022-10-01)

Combined Line Fault Location Method for MMC–HVDC Transmission Systems
by: Qing Huai, et al.
Published: (2020-01-01)

The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis
by: D.-M. Yang
Published: (2021-10-01)

Fault Diagnosis of Rolling Bearings Based on Improved Kurtogram in Varying Speed Conditions
by: Yong Ren, et al.
Published: (2019-03-01)

Denoising method of vibration signal of rolling bearing based on multi—criteria fusio
by: GAO Caixia, et al.
Published: (2018-11-01)

Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM
by: Rui Li, et al.
Published: (2020-08-01)

An Automatic Bearing Fault Diagnosis Method Based on Characteristics Frequency Ratio
by: Dengyun Wu, et al.
Published: (2020-03-01)

Bearing Fault Diagnosis Based on an Enhanced Image Representation Method of Vibration Signal and Conditional Super Token Transformer
by: Jiaying Li, et al.
Published: (2022-07-01)

Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution
by: Feng Jia, et al.
Published: (2015-11-01)

Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing
by: Yonggang Xu, et al.
Published: (2019-05-01)

Escalator Foundation Bolt Loosening Fault Recognition Based on Empirical Wavelet Transform and Multi-Scale Gray-Gradient Co-Occurrence Matrix
by: Xuezhuang E, et al.
Published: (2023-07-01)

Online Bearing Clearance Monitoring Based on an Accurate Vibration Analysis
by: Jianguo Wang, et al.
Published: (2020-01-01)

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 and Enhancement of Rolling Element Bearings Based on Maximum Correlated Kurtosis Deconvolution and Improved Empirical Wavelet Transform
by: Zheng Li, et al.
Published: (2019-05-01)

MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings
by: Zhuorui Li, et al.
Published: (2019-03-01)

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

Fault Feature Analysis and Diagnosis Method of Rolling Bearing based on Empirical Mode Decomposition and Deep Belief Network
by: Yu Xiao, et al.
Published: (2018-01-01)

A Rolling Bearing Fault Diagnosis Method Based on the WOA-VMD and the GAT
by: Yaping Wang, et al.
Published: (2023-06-01)

Fault Diagnosis of Rolling Bearings Based on EWT and KDEC
by: Mingtao Ge, et al.
Published: (2017-12-01)

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

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

GA-OIHF Elman Neural Network Algorithm for Fault Diagnosis of Full Life Cycle of Rolling Bearing
by: ZHUO Pengcheng, YAN Jin, ZHENG Meimei, XIA Tangbin, XI Lifeng
Published: (2021-10-01)