AN INCIPIENT FAULT DIAGNOSIS METHOD FOR ROLLING BEARING BASED ON MCKD AND LMD

AN INCIPIENT FAULT DIAGNOSIS METHOD FOR ROLLING BEARING BASED ON MCKD AND LMD

Aiming at the problem that the Local mean decomposition（LMD） method is difficult to draw early weak fault,a fault diagnosis method for the roller bearing based on maximum correlated kurtosis deconvolution（MCKD） and LMD was proposed.Firstly,the fault signal was de-noised and meantime periodic impact...

Full description

Saved in:

Bibliographic Details
Main Authors:	SUN Wei, LI XinMin, JIN XiaoQiang, HUANG JianPing, ZHANG XianHui
Format:	Article
Language:	zho
Published:	Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:	Jixie qiangdu
Subjects:	Rolling bearing Fault diagnosis LMD MCKD
Online Access:	http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.04.05
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ROLLING BEARING FAULT DIAGNOSIS BASED ON LMD AND ICA
by: CHEN ChongYang, et al.
Published: (2016-01-01)

Application of ELMD-MCKD in Rolling Bearing Fault Diagnosis
by: He Yuanyuan, et al.
Published: (2018-01-01)

Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
by: Zhou Juanli, et al.
Published: (2024-09-01)

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: (2021-06-01)

Fault Diagnosis Method for the Bearing of Reciprocating Compressor based on LMD Multiscale Entropy and SVM
by: Yang Songshan, et al.
Published: (2015-01-01)

Application of MCKD-cyclic Domain Demodulation Method in Gearbox Fault Diagnosis
by: Wang Zhijian, et al.
Published: (2017-01-01)

Incipient Fault Diagnosis Method for Rolling Bearing based on MED and Variational Mode Decomposition
by: Liu Shangkun, et al.
Published: (2017-01-01)

Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM
by: Zhang Yuxue, et al.
Published: (2017-01-01)

Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN
by: Wang Jinrui, et al.
Published: (2018-01-01)

IMPROVED LMD AND ITS APPLICATIONS ON GEAR FAULT DIAGNOSIS
by: ZHENG XiaoXia, et al.
Published: (2017-01-01)

A study on rolling bearing fault diagnosis using RIME-VMD
by: Zhenrong Ma, et al.
Published: (2025-02-01)

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

INCIPIENT FAULT DIAGNOSIS OF RUBBER REFINER GEARBOX BASED ON MAXIMUM CORRELATED KURTOSIS DECONVOLUTION
by: LENG JunFa, et al.
Published: (2016-01-01)

ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM
by: WANG YongDing, et al.
Published: (2021-01-01)

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)

DYNAMIC MODELING AND SIMULATION OF ROLLING BEARING WITH PITTING FAILURE
by: ZHANG HuiLing, et al.
Published: (2019-01-01)

FAULT DIAGNOSIS METHOD OF ROLLING BEARINGS BASED ON ELMD AND KERNEL DENSITY ESTIMATION
by: WU HaiYan, et al.
Published: (2017-01-01)

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

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

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)

Application of the Rational Hermite Interpolation LMD Method in the Compound Fault Diagnosis Research
by: Cui Yanping, et al.
Published: (2018-01-01)

RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN
by: TIAN LiYong, et al.
Published: (2024-08-01)

Research on Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Extracting Transform
by: Qi Liu, et al.
Published: (2021-01-01)

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)

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

ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE RCGMVMFE AND MANIFOLD LEARNING
by: LIU WuQiang, et al.
Published: (2022-01-01)

ROLLING BEARING FAULT DIAGNOSIS BASED ON UNIFORM DISTANCE LOCAL LINEAR EMBEDDING (MT)
by: GU Ye, et al.
Published: (2022-01-01)

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

A Survey of Incipient Fault Diagnosis of Bearings Based on Data-drive
by: Li Zhaofei
Published: (2023-03-01)

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

FAULT DIAGNOSIS OF BALL BEARING BASED ON ELCD PERMUTATION ENTROPY AND RVM
by: WANG Xia, et al.
Published: (2019-01-01)

A New Fault Diagnosis Method for Rolling Bearings with the Basis of Swin Transformer and Generalized S Transform
by: Jin Yan, et al.
Published: (2024-12-01)

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

Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
by: Hao Luo, et al.
Published: (2025-01-01)

ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE
by: LIU JunLi, et al.
Published: (2024-02-01)

Research of Fault Diagnosis of Rolling Bearing based on MSCNN and STFT
by: Xing Rong, et al.
Published: (2020-07-01)

Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM
by: Zhou Xiaolong, et al.
Published: (2016-01-01)

A SINGULAR INTERVAL RECONSTRUCTION LOCAL MEAN DECOMPOSITION AND ITS APPLICATION IN BEARING FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR (MT)
by: ZHAO HaiYang, et al.
Published: (2023-01-01)

A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network
by: Xinyan Zhang, et al.
Published: (2024-12-01)