A novel secondary decomposition learning paradigm with kernel extreme learning machine for multi-step forecasting of container throughput

H Li, J Bai, Y Li - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Container throughput has been perceived as one of the most important factors of port
economic development. Accurate forecasting of container throughput can not only improve …

[PDF][PDF] A review on empirical mode decomposition in forecasting time series

AM Awajan, MT Ismail, SAL Wadi - Italian Journal of Pure and …, 2019 - researchgate.net
This study aims to survey and summarize the studies that introduced forecasting time series
method based on EMD, providing references for researchers relating to this topic. We …

Research on modeling and optimization method of cement clinker calcination process based on EGPR model and steady state detection

R Zhang, X Wang, H Yu - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a modeling and optimization method for cement clinker calcination
process based on gaussian process regression ensemble (EGPR) model and steady-state …

Analysis of crude oil markets with improved multiscale weighted permutation entropy

H Niu, J Wang, C Liu - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
Entropy measures are recently extensively used to study the complexity property in
nonlinear systems. Weighted permutation entropy (WPE) can overcome the ignorance of the …

[HTML][HTML] Early fault detection method for rotating machinery based on harmonic-assisted multivariate empirical mode decomposition and transfer entropy

Z Wu, Q Zhang, L Wang, L Cheng, J Zhou - Entropy, 2018 - mdpi.com
It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals
under the influence of complex and nonlinear interference signals. This difficulty is due to …

[HTML][HTML] Signal processing applied in cortex project: From noise analysis to OMA and SSA methods

C Montalvo, L Pantera, S Lipcsei, LA Torres - Annals of Nuclear Energy, 2022 - Elsevier
In the framework of the CORTEX EU project, several measurements from different KWU and
VVER reactors have been analyzed. The goal of this project is to develop and test core …

[HTML][HTML] Anomaly detection in BWR fuel cell using neutron noise analysis techniques. Slow control rod detection

LA Torres, C Montalvo, CJ Gavilán… - Nuclear Engineering and …, 2024 - Elsevier
A two-step methodology based on noise analysis techniques was applied to detect and
monitor a resonance to do with a control rod-related anomaly, notified as SLOW in a BWR-6 …

[HTML][HTML] A Time Series Prediction-Based Method for Rotating Machinery Detection and Severity Assessment

W Zhang, Z Sun, D Lv, Y Zuo, H Wang, R Zhang - Aerospace, 2024 - mdpi.com
Monitoring the condition of rotating machinery is critical in aerospace applications like
aircraft engines and helicopter rotors. Faults in these components can lead to catastrophic …

Resolving mode mixing in boiling water reactors instability analysis using variational mode decomposition

C Montalvo, CJ Gavilán… - … Journal of Energy …, 2021 - Wiley Online Library
In dynamic, complex and nonlinear systems, the analysis of transients, instabilities or
unusual events is fundamental, as well as the knowledge of the system's behavior in the …

[HTML][HTML] Variational mode decomposition method (VMD) applied to decay ratio (DR) calculation for instabilities identification in BWR

C Montalvo, CJ Gavilán, A García-Berrocal - Nuclear Engineering and …, 2022 - Elsevier
Decay Ratio (DR) is the stability indicator most used in Boiling Water Reactors. Its
calculation can be performed by several methods which can lead to errors due to the fact …