Combining bacterial foraging algorithm with support vector machine for mud pump fault detection

Haozhou Lu; Menghong Yu

doi:10.1117/12.3012365

21 December 2023 Combining bacterial foraging algorithm with support vector machine for mud pump fault detection

Haozhou Lu, Menghong Yu

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129703D (2023) https://doi.org/10.1117/12.3012365
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

To address the problems of overfitting judgment results and the impact of the parameter on the accuracy of intelligent algorithms in fault diagnosis of the dredger pump, based on the analysis of common faults of centrifugal pumps, in this paper, a fault diagnosis method combining Support Vector Machine (SVM) and Bacterial Foraging Algorithm(BFA) for dredger pumps was proposed. By using the optimization ability of BFA, the optimal SVM penalty factor and kernel parameters are found, which improves the fault diagnosis ability. The superiority of the proposed method is verified by comparative analysis through simulation and actual examples. The results show that BFA has better optimization ability than traditional SVM.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haozhou Lu and Menghong Yu "Combining bacterial foraging algorithm with support vector machine for mud pump fault detection", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129703D (21 December 2023); https://doi.org/10.1117/12.3012365

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