A novel scheme of condition monitoring and fault recognition based on time-shift multi-scale weighted slope entropy for rolling bearings under variable speed conditions
- 9 November 2024
- journal article
- research article
- Published by Springer Nature in Nonlinear Dynamics
- Vol. 113 (8) , 8367-8390
Abstract
No abstract availableKeywords
Funding Information
- National Key R&D Program of China (2018YFB2000505, 2018YFB2000505)
This publication has 39 references indexed in Scilit:
- Optimized multivariate multiscale slope entropy for nonlinear dynamic analysis of mechanical signalsChaos, Solitons & Fractals, 2023
- Composite multi-scale phase reverse permutation entropy and its application to fault diagnosis of rolling bearingNonlinear Dynamics, 2022
- A new comprehensive automatic fault detection method for rotating machinery using HmvAAPE and VNWOA-KELMApplied Intelligence, 2022
- Hierarchical diversity entropy for the early fault diagnosis of rolling bearingNonlinear Dynamics, 2022
- Unknown bearing fault diagnosis under time-varying speed conditions and strong noise backgroundNonlinear Dynamics, 2022
- An Improved Fast Kurtogram Based on an Optimal Wavelet Coefficient for Wind Turbine Gear Fault DetectionJournal of Electrical Engineering & Technology, 2021
- Multivariate hierarchical multiscale fluctuation dispersion entropy: Applications to fault diagnosis of rotating machineryApplied Acoustics, 2021
- A parameter-adaptive ACMD method based on particle swarm optimization algorithm for rolling bearing fault diagnosis under variable speedJournal of Mechanical Science and Technology, 2021
- Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTMApplied Intelligence, 2021
- A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholdingMultimedia Tools and Applications, 2021