Intelligent diagnosis of internal pump leakage in rail transit hydraulic systems with unbalanced dataset
In this paper,a two-stage method is proposed to solve the problem of unbalance dataset in internal pump leakage diagnosis.The beta variational encoder is used to synthesize the minority class samples.The focal loss is used to enhance the classifier's performance on tough samples.The proposed method is verified by ablation experiments.
fault diagnosisinternal pump leakagehydraulic systemsunbalanced datasetfocal loss
NETL
NSTL
万方数据
维普
