ArticleSensors (Basel, Switzerland)2018
Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Entropy-Based Methods for Motor Fault Detection: A Review.Entropy (Basel, Switzerland) · 2024Review
- Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network.Sensors (Basel, Switzerland) · 2023Article
- Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index.Sensors (Basel, Switzerland) · 2022Article
- Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva.Entropy (Basel, Switzerland) · 2021Article
- Fault Diagnosis of a Wind Turbine Gearbox Based on Improved Variational Mode Algorithm and Information Entropy.Entropy (Basel, Switzerland) · 2021Article
- Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing.Entropy (Basel, Switzerland) · 2019Article
- Analysis of Weak Fault in Hydraulic System Based on Multi-scale Permutation Entropy of Fault-Sensitive Intrinsic Mode Function and Deep Belief Network.Entropy (Basel, Switzerland) · 2019Article
- Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis.Entropy (Basel, Switzerland) · 2019Article
- Self-Adaptive Spectrum Analysis Based Bearing Fault Diagnosis.Sensors (Basel, Switzerland) · 2018Article
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2 authors.
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Abstract
This paper presents the local mean decomposition (LMD) integrated with multi-scale permutation entropy (MPE), also known as LMD-MPE, to investigate the rolling element bearing (REB) fault diagnosis from measured vibration signals. First, the LMD decomposed the vibration data or acceleration measurement into separate product functions that are composed of both amplitude and frequency modulation. MPE then calculated the statistical permutation entropy from the product functions to extract the nonlinear features to assess and classify the condition of the healthy and damaged REB system. The comparative experimental results of the conventional LMD-based multi-scale entropy and MPE were presented to verify the authenticity of the proposed technique. The study found that LMD-MPE’s integrated approach provides reliable, damage-sensitive features when analyzing the bearing condition. The results of REB experimental datasets show that the proposed approach yields more vigorous outcomes than existing methods.
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