RTSMFFDE-HKRR: A fault diagnosis method for train bearing in noise environment
D He, Z Zhang, Z Jin, F Zhang, C Yi, S Liao - Measurement, 2025 - Elsevier
The bearings have been exposed to a noisy environment for an extended period, making it
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model
To improve the granularity of load decomposition within integrated energy system (IES), a
novel multiple load forecasting approach is proposed. This method leverages an …
novel multiple load forecasting approach is proposed. This method leverages an …
Benefits of Zero-Phase or Linear Phase Filters to Design Multiscale Entropy: Theory and Application
E Grivel, B Berthelot, G Colin, P Legrand, V Ibanez - Entropy, 2024 - mdpi.com
In various applications, multiscale entropy (MSE) is often used as a feature to characterize
the complexity of the signals in order to classify them. It consists of estimating the sample …
the complexity of the signals in order to classify them. It consists of estimating the sample …
Fusion entropy and its spatial post-multiscale version: Methodology and application
Y Li, Q Ding - Chaos, Solitons & Fractals, 2024 - Elsevier
Dispersion entropy (DE) and its improved versions have become effective methods for
analyzing signals complexity, which characterizes signals amplitude differences more …
analyzing signals complexity, which characterizes signals amplitude differences more …
Feature Extraction Using Refined Composite Hierarchical Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis
Y Zhou, H Wang, Y Liu, Z Fan, X Liu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Fault diagnosis of rotating machinery is a key technology to ensure safe and economic
operation. However, because of the variable service conditions, machine systems behave …
operation. However, because of the variable service conditions, machine systems behave …
Fault Diagnosis Method for Rolling Bearings Based on Grey Relation Degree
Y Mao, J Xin, L Zang, J Jiao, C Xue - Entropy, 2024 - mdpi.com
Aiming at the difficult problem of extracting fault characteristics and the low accuracy of fault
diagnosis throughout the full life cycle of rolling bearings, a fault diagnosis method for rolling …
diagnosis throughout the full life cycle of rolling bearings, a fault diagnosis method for rolling …