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Parallel Cross-Sparse Filtering Networks and Its Application on Fault Diagnosis of Rotating Machinery
2022
Journal of Sensors
Intelligent diagnosis method has become a new focus for researchers, which can get rid of the dependence of diagnostic experience and prior knowledge. However, in practical application, to deal with the new fault type of mechanical equipment, the number of fault labels of the diagnosis model needs to be increased. We must retrain the whole training model, which is a time-consuming process. To solve this problem, higher requirements are put forward for the generalization ability and universality
doi:10.1155/2022/9259639
fatcat:zzjni2jd7vc3rl7qstpzv3pg6m