A RUL Prediction Method for UAV Batteries Based on Multilevel Data Processing with Decay Regularzition Stochastic Configuration Network 2025 International Conference on Equipment Intelligent Operation and Maintenance ICEIOM2025

Presentation Details

A RUL Prediction Method for UAV Batteries Based on Multilevel Data Processing with Decay Regularzition Stochastic Configuration Network

ID：28 View Protection：ATTENDEE Updated Time：2025-06-15 09:08:43 Hits：193 Oral Presentation

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Abstract

This study proposes a high-precision framework for predict

ing Unmanned Aerial Vehicles (UAVs) batteries’ remaining useful life

(RUL). Utilizing a multilevel data processing approach and a decay

regularization-enhanced stochastic configuration network (SCN), this frame

work aims to improve battery health monitoring (BHM) safety and effi-

ciency. The framework is validated using NASA’s UAV battery dataset

and compared against existing techniques, demonstrating notable perfor

mance improvements. Specifically, the study starts with an initial analy

sis of the battery’s key health indicator (HI) using variational modal

decomposition (VMD), followed by a secondary decomposition using

complete ensemble empirical modal decomposition (CEEMDAN) and

signal-to-noise ratio (SNR). Finally, the signals are further processed by

Fast Fourier Transform (FFT) and Power Spectral Density (PSD) anal

ysis and refined by band-pass filters. Performance evaluation across four

datasets (LLF, ULA, LRF, URA) shows that the proposed model outper

forms comparative models in terms of Root Mean Square Error (RMSE)

and Coefficient of Determination (R 2 ) metrics, particularly on the LRF

dataset, achieving an RMSE of 0.054 and an R 2 of 0.8137, indicating

very high prediction accuracy and model fit.

Keywords

Stochastic Configuration Network,MultiLevel Signal Processing,RUL Pridiction

Speaker

Zihao Liao

博士研究室 Guizhou University

Submission Author

Zihao Liao Guizhou University

Shaobo Li Guizhou University

Zhou Peng Guizhou University

Yang Lei Guizhou University

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Important Date

Conference Date

Aug 01

2025

to

Aug 04

2025
Aug 20 2025

Draft paper submission deadline

Organized By

新疆大学

Contact Information

Mr. Yanruqiang
ya******@xjtu.edu.cn

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