A classification method for rotor imbalance fault with ISFLA-SVM

You, Lei; Han, Qiyi; Liang, Ying; Wang, Jin

doi:10.1117/12.2574445

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Cai et al (2021) proposed a modified shuffled frog leaping algorithm with a ternary quantum. You et al (2020) used an improved hybrid leapfrog algorithm to optimize fault diagnosis in a support vector machine.…”

Section: Related Work In Field Of Shuffled Frog Leaping Algorithmmentioning

confidence: 99%

Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm

Liu

Huo

et al. 2023

Journal of Database Management

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Shuffled frog leaping algorithm is a biological swarm intelligent optimization algorithm and improved into capacity-limited vehicle routing problem. However, the optimization performance is limited with improvement strategies in major of the improvement algorithm. A novel framework of algorithm is proposed to solve capacity-limited vehicle routing problem, including three modules such as origin oriented shuffled frog leaping algorithm strategy, origin oriented shuffled frog leaping vehicle routing multiobjective optimization algorithm strategy, and output module. The frog individuals gather near the origin with the maximum probability and in the area circle, with the frog leaping radius or frog-oriented radius, as the neighborhood. The negative value of the maximum entropy and the shortest total path length of the vehicle are selected as the fitness. The performance test shows that it overcomes the defect of slow convergence compared with other five algorithms. It performs well to solve vehicle routing problems.

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Section: Related Work In Field Of Shuffled Frog Leaping Algorithmmentioning

confidence: 99%

Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm

Liu

Huo

et al. 2023

Journal of Database Management

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“…For example, Hübner et al [10] proposed a support vector machine (SVM)-based unbalance fault diagnosis method using current and voltage data from a condition monitoring system in a wind turbine to achieve a classification diagnosis of an unbalanced mass. You L et al [11] proposed a rotor unbalance fault classification method using an improved shuffled frog leaping algorithm to optimize the SVM parameters. Tong R et al [12] validated the effectiveness and superiority of the adaptive weighted kernel extreme learning machine algorithm in the blade icing detection of wind turbines through three benchmark cases.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning-Based Unbalanced Force Identification of the Hypergravity Centrifuge

Lin

et al. 2023

Sensors

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Accurate and quantitative identification of unbalanced force during operation is of utmost importance to reduce the impact of unbalanced force on a hypergravity centrifuge, guarantee the safe operation of a unit, and improve the accuracy of a hypergravity model test. Therefore, this paper proposes a deep learning-based unbalanced force identification model, then establishes a feature fusion framework incorporating the Residual Network (ResNet) with meaningful handcrafted features in this model, followed by loss function optimization for the imbalanced dataset. Finally, after an artificially added, unbalanced mass was used to build a shaft oscillation dataset based on the ZJU-400 hypergravity centrifuge, we used this dataset to train the unbalanced force identification model. The analysis showed that the proposed identification model performed considerably better than other benchmark models based on accuracy and stability, reducing the mean absolute error (MAE) by 15% to 51% and the root mean square error (RMSE) by 22% to 55% in the test dataset. Simultaneously, the proposed method showed high accuracy and strong stability in continuous identification during the speed-up process, surpassing the current traditional method by 75% in the MAE and by 85% in the median error, which provided guidance for counterweight and guaranteed the unit’s stability.

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A classification method for rotor imbalance fault with ISFLA-SVM

Cited by 2 publications

References 7 publications

Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm

Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm

A Deep Learning-Based Unbalanced Force Identification of the Hypergravity Centrifuge

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