ArticleEntropy (Basel, Switzerland)2022
Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A CNN Feature Extraction and BKA-Optimized LSSVM Classification Method for Small-Sample Rolling Bearing Fault Diagnosis.Sensors (Basel, Switzerland) · 2026Article
- Ship Rolling Bearing Fault Identification Under Complex Operating Conditions: Multi-Domain Feature Extraction-Based LCM-HO Enhanced LSSVM Approach.Sensors (Basel, Switzerland) · 2025Article
- A Rolling-Bearing-Fault Diagnosis Method Based on a Dual Multi-Scale Mechanism Applicable to Noisy-Variable Operating Conditions.Sensors (Basel, Switzerland) · 2025Article
- Adaptive VMD-K-SVD-Based Rolling Bearing Fault Signal Enhancement Study.Sensors (Basel, Switzerland) · 2023Article
- Fault Diagnosis for Rolling Bearing of Combine Harvester Based on Composite-Scale-Variable Dispersion Entropy and Self-Optimization Variational Mode Decomposition Algorithm.Entropy (Basel, Switzerland) · 2023Article
- A Dual-Optimization Fault Diagnosis Method for Rolling Bearings Based on Hierarchical Slope Entropy and SVM Synergized with Shark Optimization Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite.Polymers · 2022Article
- Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In order to further improve the accuracy of fault identification of rolling bearings, a fault diagnosis method based on the modified particle swarm optimization (MPSO) algorithm optimized least square support vector machine (LSSVM), combining parameter optimization variational mode decomposition (VMD) and multi-scale permutation entropy (MPE), was proposed. Firstly, to solve the problem of insufficient decomposition and mode mixing caused by the improper selection of mode component
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Registered trials
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