Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.08.012
Abstract: In recent years, an increasing popularity of deep learning model for intelligent condition monitoring and diagnosis as well as prognostics used for mechanical systems and structures has been observed. In the previous studies, however, a… read more here.
Keywords: fault; diagnosis; distribution adaptation; transfer ... See more keywords
Few-Shot Learning Based Balanced Distribution Adaptation for Heterogeneous Defect Prediction
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DOI: 10.1109/access.2020.2973924
Abstract: Heterogeneous defect prediction (HDP) aims to predict the defect tendency of modules in one project using heterogeneous data collected from other projects. It sufficiently incorporates the two characteristics of the defect prediction data: (1) datasets… read more here.
Keywords: balanced distribution; distribution adaptation; prediction; defect prediction ... See more keywords
A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation
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DOI: 10.1109/access.2020.2987933
Abstract: Effective fault diagnosis is essential to ensure the safe and reliable operation of equipment. In recent years, several transfer learning-based methods for diagnosing faults under variable working conditions have been developed. However, these models are… read more here.
Keywords: probability distribution; fault diagnosis; distribution adaptation; marginal probability ... See more keywords
Image Registration Via Marginal Distribution Adaptation
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DOI: 10.1109/lgrs.2021.3091592
Abstract: The distribution of feature vectors plays a critical role in image registration. In this letter, we propose a novel approach for remote sensing image registration based on marginal distribution adaptation. First, we map the feature… read more here.
Keywords: marginal distribution; registration; image registration; distribution adaptation ... See more keywords
Multisource Deep Transfer Learning Based on Balanced Distribution Adaptation
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6915216
Abstract: The current traditional unsupervised transfer learning assumes that the sample is collected from a single domain. From the aspect of practical application, the sample from a single-source domain is often not enough. In most cases,… read more here.
Keywords: transfer learning; distribution; distribution adaptation; multisource ... See more keywords