Výsledky vyhľadávania - "deep adversarial convolution autoencoder network"

Enhanced Prediction of the Remaining Useful Life of Rolling Bearings Under Cross-Working Conditions via an Initial Degradation Detection-Enabled Joint Transfer Metric Network

Autori: Lingfeng Qi Jiafang Pan Tianping Huang a ďalší

Zdroj: Applied Sciences, Vol 15, Iss 12, p 6401 (2025)

Predmety: remaining useful life prediction, reconstruction along projection pathway, deep adversarial convolution autoencoder network, joint domain adaptation loss, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/12/6401; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/e5b80ed94f004b17a3ca4adee50fd0fc

Enhanced Prediction of the Remaining Useful Life of Rolling Bearings Under Cross-Working Conditions via an Initial Degradation Detection-Enabled Joint Transfer Metric Network.

Autori: Qi, Lingfeng Pan, Jiafang Huang, Tianping a ďalší

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6401, 26p

Predmety: REMAINING useful life, ROLLER bearings, AUTOENCODERS, ROTATING machinery, DATA distribution