Transfer-Learning-for-Fault-Diagnosis

Research output: Non-textual formSoftware

Abstract

This repository is for the transfer learning or domain adaptive with fault diagnosis.

The paper is as follow:

Domain Adaptation with Multilayer Adversarial Learning for Fault Diagnosis of Gearbox under Multiple Operating Conditions

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions

Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump
Original languageEnglish
Media of outputOnline
Publication statusPublished - 11 Jun 2019

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