Rolling bearing life stage identification method based on MAMTL
A rolling bearing and identification method technology, applied in the field of rolling bearing life prediction, can solve the problems of low recognition accuracy of life stage samples and large differences in sample distribution, and achieve improved generalization performance, good generalization and domain adaptation sexual effect
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[0075] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0076] The MAMTL of the present invention represents Model-Agnostic Meta-Transfer Learning (MAMTL). In MAMTL, model-independent meta-learning and transfer learning are combined to achieve multi-task synchronous parallel training to replace traditional iterative training. Multiple task loss functions use unlabeled samples under different working conditions and a small number of valid training under historical working conditions. The class label samples jointly update the MAMTL network parameters to seek the global optimal solution of the network parameters, which makes MAMTL have better generalization ability, so MAMTL has better performance than traditional transfer learning in the case of fewer historical working conditions with class label training samples. Good domain adaptability; a new type of prototype network is built in MAMTL to repres...
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