Research on Fault Diagnosis of UAV Acceleration Sensor based on GS-HPO-SVM

Zimo Li

doi:10.6919/ICJE.202510_11(10).0010

Authors

Zimo Li

DOI:

https://doi.org/10.6919/ICJE.202510_11(10).0010

Keywords:

Acceleration Sensor; Fault Diagnosis; Multi-domain Feature Extraction; Z-score Standardization; t-SNE Dimensionality Reduction; One-vs-All Encoding; Grid Search Hyperparameter Optimization; Support Vector Machine (SVM) Introduction.

Abstract

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References

[1] Schmidt, J., Müller, R., Braun, T. (2023) Deep Residual CNN-LSTM for Multi-Type Fault Diagnosis in Industrial Accelerometers. Mechanical Systems and Signal Processing, 189: 110081–110096.

[2] Kumar, A., Kim, J., Lyu, X. (2023) Adaptive Kernel Parameter Optimization for Support Vector Machines Using Metaheuristic Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45: 10235–10252.

[3] Tharwat, A., Hassanien, A.E. (2019) Quantum-Behaved Particle Swarm Optimization for Parameter Optimization of Support Vector Machine. J Classif ,36:576-598.

[4] Qiang M.H., Guo J. (2021) Research on Data Preprocessing Method for UAV Sensor Fault Diagnosis System. Ship Electronic Engineering, 41: 132-136.

[5] Li J., Chen J., Xiao C., et al. (2024) Fault Diagnosis of Fiber Bragg Grating Sensors Based on TLGWO-SVM. Journal of Wuhan University of Technology, 46: 129-136.

[6] Ma Y.J., Feng Y., Sun P.W., et al. (2024) Sensor Fault Diagnosis for Small Natural Circulation Lead-Cooled Fast Reactor Based on PCA-SVM. Nuclear Science and Engineering, 44: 464-471.

[7] Gao Y.H., Zhao D., Li Y.B. (2014) Fault Diagnosis of Small UAV Sensors Based on LSSVM and PCA. Fire Control & Command Control, 39: 111-114.