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Predicting the Remaining Useful Life of Turbofan Engines Using Fractional Lévy Stable Motion with Long-Range Dependence
Qi, Deyu, Zhu, Zijiang, Yao, Fengmin, Song, Wanqing, Kudreyko, Aleksey, Cattani, Piercarlo, Villecco, Francesco (2024)
Remaining useful life prediction guarantees a reliable and safe operation of turbofan engines. Long-range
Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor
Song, Wanqing, Duan, Shouwu, Zio, Enrico, Kudreyko, Aleksey (2022)
. The degradation process of a CGC from a normal state to a failure state has long-range dependence (LRD
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
Liu, H., Song, W., Niu, Y., Zio, E. (2021)
mathematical methods based on fractal and Long-Range Dependence (LRD) stochastic processes. However
An iterative model of the generalized Cauchy process for predicting the remaining useful life of lithium-ion batteries
Hong, G., Song, W., Gao, Y., Zio, E., Kudreyko, A. (2022)
The degradation process of lithium-ion batteries has memory, i.e. it has long-range dependence (LRD
Fractional Levy stable motion: Finite difference iterative forecasting model
Liu, H., Song, W., Li, M., Kudreyko, A., Zio, E. (2020)
forecasting model with Long Range Dependent (LRD) characteristics. The LRD forecasting model considers
Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries
Deng, W., Gao, Y., Chen, J., Kudreyko, A., Cattani, C., Zio, E., Song, W. (2023)
-fractal Weibull motion. The varying degree of long-range dependence and the 1/f characteristics in the frequency
REMAINING USEFUL LIFE PREDICTION FOR LITHIUM-ION BATTERIES USING FRACTIONAL BROWNIAN MOTION AND FRUIT-FLY OPTIMIZATION ALGORITHM
WANG, H., SONG, W., ZHANG, Y., ZIO, E., KUDREYKO, A. (2020)
LONG-RANGE DEPENDENCE
Hybrid Approach of Fractional Generalized Pareto Motion and Cosine Similarity Hidden Markov Model for Solar Radiation Forecasting
Song, W., Deng, W., Chen, D., Jin, R., Kudreyko, A. (2023)
. The combination of the Hurst exponent and tail parameter revealed the self-similarity and long-range dependence
Tool Degradation Prediction Based on Semimartingale Approximation of Linear Fractional Alpha-Stable Motion and Multi-Feature Fusion
Yuan, Yuchen, Chen, Jianxue, Rong, Jin, Cattani, Piercarlo, Kudreyko, Aleksey, Villecco, Francesco (2023)
long-range dependence (LRD)
Delocalized Nonlinear Vibrational Modes in Bcc Lattice for Testing and Improving Interatomic Potentials
Ryabov, Denis S., Kosarev, Igor V., Xiong, Daxing, Kudreyko, Aleksey A., Dmitriev, Sergey V. (2025)
-state physics. The accuracy of MD simulations depends on the quality of the interatomic potentials. In this work

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