Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition

Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition

To address the issues of non-stationarity, noise interference, and insufficient discriminative power of traditional fault feature extraction methods in rolling bearing vibration signals, this paper proposes a fault diagnosis method based on multi-scale permutation entropy (MPE) and a multi-strategy...

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Bibliographic Details
Main Authors: Haodong Chi, Huiyuan Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Machines
Subjects:
fault diagnosis
feature extraction
local mean decomposition
multi-scale permutation entropy
adaptive levy flight
dynamic reverse learning
Online Access:https://www.mdpi.com/2075-1702/13/4/336
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