Modified Local Linear Embedding Algorithm for Rolling Element Bearing Fault Diagnosis

Modified Local Linear Embedding Algorithm for Rolling Element Bearing Fault Diagnosis

Due to the noise accompanied with rolling element bearing fault signal, it can reduce the accuracy of faulty diagnoses. In order to improve the robustness of a faulty diagnosis, this study proposed a fault diagnosis model based on modified local linear embedding (M-LLE) algorithm. Aiming at the char...

Full description

Bibliographic Details
Main Authors:	Beibei Yao, Jia Su, Lifeng Wu, Yong Guan
Format:	Article
Language:	English
Published:	MDPI AG 2017-11-01
Series:	Applied Sciences
Subjects:	fault diagnosis rolling element bearing MD L1-norm LLE algorithm
Online Access:	https://www.mdpi.com/2076-3417/7/11/1178

Similar Items

Rolling Element Bearing Fault Diagnosis Using Improved Manifold Learning
by: Beibei Yao, et al.
Published: (2017-01-01)

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

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

Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding
by: Yingwei Zhang, et al.
Published: (2018-01-01)

AN INCIPIENT FAULT DIAGNOSIS METHOD FOR ROLLING BEARING BASED ON MCKD AND LMD
by: SUN Wei, et al.
Published: (2018-01-01)

Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
by: Junbo Zhou, et al.
Published: (2022-08-01)

Rolling Bearings Fault Diagnosis Method Integrating CEEMDAN-SVD and Cepstrum
by: Jinni ZHENG, et al.
Published: (2021-05-01)

Dynamics Modeling and Analysis of Rolling Bearings Variable Stiffness System with Local Faults
by: Baoliang Guo, et al.
Published: (2023-06-01)

Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation Entropy
by: Xiong Gan, et al.
Published: (2018-10-01)

Fault Diagnosis Method for Rolling Bearings Based on Composite Multiscale Fluctuation Dispersion Entropy
by: Xiong Gan, et al.
Published: (2019-03-01)

Fault Diagnosis of Rolling Bearing Based on a Priority Elimination Method
by: Chuan Xiang, et al.
Published: (2023-02-01)

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

The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis
by: Yanfei Liu, et al.
Published: (2023-08-01)

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)

A Survey on Fault Diagnosis of Rolling Bearings
by: Bo Peng, et al.
Published: (2022-09-01)

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

Rolling bearing fault diagnosis based on fine-grained multi-scale Kolmogorov entropy and WOA-MSVM
by: Bing wang, et al.
Published: (2024-03-01)

ROLLING BEARING FAULT FEATURE EXTRACTION RESEARCH BASED ON IMPROVED CEEMDAN AND RECONSTRUCTION
by: LIANG Kai, 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-Diagnosis Method Based on Multimeasurement Hybrid-Feature Evaluation
by: Jianghua Ge, et al.
Published: (2019-11-01)

Rolling Bearing Fault Monitoring for Sparse Time-Frequency Representation and Feature Detection Strategy
by: Jiahui Tang, et al.
Published: (2022-12-01)

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)

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

Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
by: Xinmin Song, et al.
Published: (2023-05-01)

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

Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis
by: Zhiqiang Huo, et al.
Published: (2020-01-01)

Research on Improved Fault Detection Method of Rolling Bearing Based on Signal Feature Fusion Technology
by: Zhenggaoyuan Fang, et al.
Published: (2023-12-01)

Rolling Bearing Initial Fault Detection Using Long Short-Term Memory Recurrent Network
by: Huaitao Shi, et al.
Published: (2019-01-01)

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

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

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum
by: Yong Lv, et al.
Published: (2015-01-01)

A Mathematical Morphological Network Fault Diagnosis Method for Rolling Bearings Based on Acoustic Array Signal
by: Yuanqing Luo, et al.
Published: (2023-11-01)

Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm
by: Weijie Shen, et al.
Published: (2023-07-01)

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

Fault Diagnosis for Abnormal Wear of Rolling Element Bearing Fusing Oil Debris Monitoring
by: Yulai Zhao, et al.
Published: (2023-03-01)

Fault Diagnosis of Rolling Element Bearing based on Angular Domain Empirical Wavelet Transform
by: Yang Changzheng
Published: (2017-01-01)

Improved Fault Size Estimation Method for Rolling Element Bearings Based on Concatenation Dictionary
by: Lingli Cui, et al.
Published: (2019-01-01)

A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model
by: Xinyu Tang, et al.
Published: (2022-05-01)

End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis
by: Jianbo Zheng, et al.
Published: (2022-08-01)

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)