Partial Transfer Learning of Multidiscriminator Deep Weighted Adversarial Network in Cross-Machine Fault Diagnosis-Reference-Cited by-同舟云学术

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Partial Transfer Learning of Multidiscriminator Deep Weighted Adversarial Network in Cross-Machine Fault Diagnosis

Published:2022 Issue: Volume:71 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Zhijian^ORCID,Cui Jie^ORCID,Cai Wenan^ORCID,Li Yanfeng^ORCID

Funder

Shanxi Province Graduate Student Innovation Project

Shanxi Provincial Natural Science Foundations of China

Opening Project of Shanxi Key Laboratory of Advanced Manufacturing Technology

Open Research Fund for Key Discipline Laboratory of Super-Pressure Hurting Technology

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09755986.pdf?arnumber=9755986

Reference30 articles.

1. Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks

2. A comprehensive review on convolutional neural network in machine fault diagnosis

3. Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition

4. Fault detection and classification with feature representation based on deep residual convolutional neural network

5. Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance

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