Advancing Early Fault Diagnosis for Multi-Domain Agricultural Machinery Rolling Bearings through Data Enhancement

Advancing Early Fault Diagnosis for Multi-Domain Agricultural Machinery Rolling Bearings through Data Enhancement

In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosis method, anchored in data augmentation, aims...

Full description

Bibliographic Details
Main Authors:	Fengyun Xie, Gang Li, Hui Liu, Enguang Sun, Yang Wang
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Agriculture
Subjects:	agricultural machinery rolling bearings multi-domain fault diagnosis data augmentation imbalanced samples early fault detection
Online Access:	https://www.mdpi.com/2077-0472/14/1/112

Similar Items

An Imbalanced Fault Diagnosis Method for Rolling Bearing Based on Semi-Supervised Conditional Generative Adversarial Network With Spectral Normalization
by: Minqiu Xu, et al.
Published: (2021-01-01)

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)

Rolling Bearing Fault Detection in the Range of Ultrasound
by: Goran Šiniković, et al.
Published: (2023-01-01)

Research on an ID-PCA Early Fault Detection Method for Rolling Bearings
by: Jin Guo, et al.
Published: (2022-04-01)

Rolling Bearing Fault Diagnosis Based on SVD-GST Combined with Vision Transformer
by: Fengyun Xie, et al.
Published: (2023-08-01)

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

The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network
by: Xuejun Liu, et al.
Published: (2022-06-01)

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

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

A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault Diagnosis
by: Xinran Li, et al.
Published: (2022-12-01)

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

A Fault Diagnosis Method for Rolling Bearings Based on Parameter Transfer Learning under Imbalance Data Sets
by: Cheng Peng, et al.
Published: (2021-02-01)

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

Fault Diagnosis of Rolling Bearings of Different Working Conditions Based on Multi-Feature Spatial Domain Adaptation
by: Tao Wen, et al.
Published: (2021-01-01)

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

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

Semi-Supervised Adversarial Transfer Networks for Cross-Domain Intelligent Fault Diagnosis of Rolling Bearings
by: Baisong Pan, et al.
Published: (2023-02-01)

A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors
by: Guoguo Wu, et al.
Published: (2022-10-01)

Research of Wavelet Neural Network State Degradation Prediction of Rolling Bearing New Time Domain Index
by: Li Wenfeng, et al.
Published: (2016-01-01)

A Novel Rolling Bearing Fault Diagnosis and Severity Analysis Method
by: Yinsheng Chen, et al.
Published: (2019-06-01)

Feature Extraction of Weak Fault of Rolling Bearing based on TVF-EMD and TEO
by: Kexin Liu, 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)

Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions
by: Wei Cui, et al.
Published: (2023-08-01)

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

Deep Transfer Network with Multi-Space Dynamic Distribution Adaptation for Bearing Fault Diagnosis
by: Xiaorong Zheng, et al.
Published: (2022-08-01)

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

Two-Stage Multi-Scale Fault Diagnosis Method for Rolling Bearings with Imbalanced Data
by: Minglei Zheng, et al.
Published: (2022-05-01)

Time—window Complexity and its Application in the Fault Diagnosis of Bearing
by: Jiang Pei, et al.
Published: (2016-01-01)

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)

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

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)

Application of Bistable Stochastic Resonance based on VMD in Early Fault Detection of Rolling Bearing
by: Wang Zhixia, et al.
Published: (2018-01-01)

Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study
by: Wentao Mao, et al.
Published: (2019-01-01)

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)

Fault diagnosis of rolling bearings based on GAF and DenseNet
by: JIANG Jiaguo1, et al.
Published: (2021-08-01)

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)