Feb 22, 2018 · A novel supervised particle swarm optimization (S-PSO) classification algorithm is proposed for fault diagnosis. In order to improve the ...

A novel supervised particle swarm optimization (S-PSO) classification algorithm is proposed for fault diagnosis. In order to improve the accuracy of fault ...

The S-PSO classification algorithm overcomes the defects of the clustering algorithms that only consider the similarity features of data but not the physical ...

To diagnose the aeroengine faults accurately, the supervised Kohonen (S-Kohonen) network is proposed for fault diagnosis. Via adding the output layer behind ...

This paper proposes a rolling bearing fault diagnosis method (PSO-ResNet) that combines a Particle Swarm Optimization algorithm (PSO) with a residual network. A ...

The classification model is established and applied to identify the fault of bearing. Classification result shows the classification accuracy is improved, and ...

Jan 5, 2024 · The proposed methodology for fault diagnosis in GCPV systems consists of two primary steps: feature selection and fault classification. The ...

A new fault detection method based on QPSO-SVM classification model is proposed. In this model, QPSO algorithm is introduced to improve the defect that PSO ...

Oct 22, 2024 · ... The Discrete PSO (DPSO) algorithm was used for finding the optimal parameters of the SVM classifier for fault diagnosis of turbopump rotor [ ...

This paper proposes an improved self-adaptive one-dimensional convolutional neural network for bearing fault diagnosis. Firstly, PSO particle swarm optimization ...