Federated learning for intelligent fault diagnosis based on similarity ...

We explore a federated learning method for machinery fault diagnosis based on similarity collaboration (FedSC).

To solve this problem, we explore a federated learning method for machinery fault diagnosis based on similarity collaboration (FedSC).

Federated learning for intelligent fault diagnosis based on similarity ...

To solve this problem, we explore a federated learning method for machinery fault diagnosis based on similarity collaboration (FedSC). Considering the data ...

Federated learning for intelligent fault diagnosis based on similarity ...

This work explores a federated learning method for machinery fault diagnosis based on similarity collaboration (FedSC), which achieves higher accuracy and ...

Framework of the FedSC method. - ResearchGate

Download scientific diagram | Framework of the FedSC method. from publication: Federated learning for intelligent fault diagnosis based on similarity ...

Knowledge-based Clustering Federated Learning for fault diagnosis ...

The experimental results demonstrate the promising performance of KCFed in improving fault diagnosis accuracy while preserving privacy in a ...

Federated transfer learning for machinery fault diagnosis

Federated transfer learning (FTL)-based diagnosis methods provide a feasible and effective solution for such challenges, aiming to transfer and generalize ...

Personalized Federated Learning for Multi-task Fault Diagnosis of ...

The case study on collected data from real machines verifies the effectiveness of the proposed framework. The result shows that the diagnosis ...

Federated Transfer Fault Diagnosis Method Based on Variational ...

We construct a federated learning model comprising an encoder, variational feature generator, decoder, classifier, and discriminator, fortified with an advanced ...

Federated Learning Based Fault Diagnosis Driven by Intra-Client ...

Federated learning is an effective means to combine model information from different clients to achieve joint optimization when the model of ...

Federated Transfer Learning-Based Paper Breakage Fault Diagnosis

Additionally, the federated learning method provides an effective solution for fault diagnosis in small sample operating conditions, and an appropriate model ...

An Intelligent Diagnosis Method for Machine Fault Based on ... - MDPI

An intelligent diagnosis method for machine fault is proposed based on federated learning. Firstly, the local fault diagnosis models diagnosing the existing ...

Federated Transfer Learning for Intelligent Fault Diagnostics Using ...

Abstract: Intelligent data-driven machinery fault diagnosis methods have been popularly developed in the past years.

Federated Learning with Uncertainty-Based Client Clustering for ...

This is particularly prevalent in fault diagnosis applications due to the high diversity of operating conditions and system configurations. To ...

Mechanical Systems and Signal Processing - Iowa State University

Federated learning (FL) has emerged as a promising solution to leverage datasets from multiple operators to train a decentralized asset fault diagnosis model ...

A New Approach for Fault Diagnosis | Olga Fink posted on the topic

Announcing our latest paper: "Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis" The paper resulted ...

Bearing fault diagnosis based on improved federated learning ...

Publications that cite this publication · Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis · A novel federated deep ...

DiagNet: Machine Fault Diagnosis Using Federated Transfer ...

Specifically, to address the data privacy concerns, we employ the federated learning approach by jointly training a global model across multiple ...

Maintenance and Reliability - Eksploatacja i Niezawodnosc

a federated transfer fault diagnosis method based on federated learning ... Federated learning for intelligent fault diagnosis based on similarity collaboration,.

A review on adversarial–based deep transfer learning mechanical ...

[51] proposed a two-stage intelligent fault diagnosis method for multisource partial domain adaptation (MSPDA) using pseudo-balanced target ...