Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction

No abstract is available for this paper.

• Publication year

  2023

• Venue

  Computers in industry (Print)

• Publication date

  2023-06-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.compind.2023.103888
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Effects of Mechanical Scanning Speeds on Eddy-Current Detection of Cavity Defects

  2023cited by this paper
• Command Filter-Based Adaptive Fuzzy Finite-Time Output Feedback Control of Nonlinear Electrohydraulic Servo System

  2022cited by this paper
• Transformer Model for Remaining Useful Life Prediction of Aeroengine

  2022cited by this paper
• Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction

  2022cited by this paper
• Deep Learning-Based Remaining Useful Life Prediction Method with Transformer Module and Random Forest

  2022cited by this paper
• Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation

  2022cited by this paper
• Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings

  2022cited by this paper
• Federated learning-based Explainable Anomaly Detection for Industrial Control Systems

  2022cited by this paper
• Light-weight federated learning-based anomaly detection for time-series data in industrial control systems

  2022cited by this paper
• Infrared and Visible Image Fusion via Decoupling Network

  2022cited by this paper
• Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

  2022cited by this paper
• An end-to-end framework combining time-frequency expert knowledge and modified transformer networks for vibration signal classification

  2021cited by this paper
• Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

  2021cited by this paper
• Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach

  2021cited by this paper
• Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction

  2021cited by this paper
• Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network

  2021cited by this paper
• Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

  2021cited by this paper
• A survey on federated learning

  2021cited by this paper
• Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

  2021cited by this paper
• Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit

  2021cited by this paper
• Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

  2021cited by this paper
• Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction

  2021cited by this paper
• A deep attention residual neural network-based remaining useful life prediction of machinery

  2021cited by this paper
• Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research

  2021cited by this paper
• Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture

  2021cited by this paper
• Remaining Useful Life Estimation of Aircraft Engines Using a Joint Deep Learning Model Based on TCNN and Transformer

  2021cited by this paper
• Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

  2020cited by this paper
• Remaining Useful Life Estimation in Aircraft Components with Federated Learning

  2020cited by this paper
• Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

  2019cited by this paper
• Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network

  2019cited by this paper
• Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

  2018cited by this paper
• Remaining Useful Life Estimation in Prognostics Using Deep Bidirectional LSTM Neural Network

  2018cited by this paper
• Remaining useful life estimation in prognostics using deep convolution neural networks

  2018cited by this paper
• Long Short-Term Memory Network for Remaining Useful Life estimation

  2017cited by this paper
• Attention is All you Need

  2017cited by this paper
• Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

  2016cited by this paper
• Remaining Useful Life Estimation of Critical Components With Application to Bearings

  2012cited by this paper
• Practical Bayesian Optimization of Machine Learning Algorithms

  2012cited by this paper
• Damage propagation modeling for aircraft engine run-to-failure simulation

  2008cited by this paper

• Uncertainty aware federated averaging approach for privacy secured collaborative remaining useful life prediction of rolling element bearing

  2026cites this paper
• Federated Incremental Prognostics for System-Specific Degradation Tracking in Spacecraft Propulsion Systems

  2026cites this paper
• VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention

  2026cites this paper
• SKDAN: A Signal Knowledge-enhanced Domain Adaptation Network for remaining useful life prediction and uncertainty quantification of rolling bearings

  2026cites this paper
• FedDwa: A lightweight federated learning with dynamic weighted average aggregation method for machines RUL prediction

  2026cites this paper
• Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction

  2025cites this paper
• BTAS: Binary Temporal-Augmented Architecture Search and Application in Rotating Machinery Prognostics and Health Management

  2025cites this paper
• Personalized federated learning for remaining useful life prediction under scenarios of fragmented out-of-distribution data

  2025cites this paper
• A Comprehensive Survey on Deep Learning-based Predictive Maintenance

  2025cites this paper
• Challenges and Future Directions in Federated Learning for Rul Estimation in Power Electronics: Insights From Recent Research

  2025cites this paper
• A cross-domain few-shot remaining useful life estimation framework based on model-agnostic meta-learning with task embeddings

  2025cites this paper
• An intelligent predictive maintenance framework for floating offshore wind turbine based on structural damage prediction

  2025cites this paper
• Federated Learning for Remaining Useful Life Prediction: A Literature Review

  2025cites this paper
• Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning

  2025cites this paper
• Collaborative Prognostics of Lithium-Ion Batteries Using Federated Learning With Dynamic Weighting and Attention Mechanism

  2025cites this paper
• Probing a CNN–BiLSTM–Attention-Based Approach to Solve Order Remaining Completion Time Prediction in a Manufacturing Workshop

  2025cites this paper
• Federated learning-empowered smart manufacturing and product lifecycle management: A review

  2025cites this paper
• Trustworthy AI for human-centric smart manufacturing: A survey

  2025cites this paper
• New Method for Remaining Useful Life Prediction Based on Recurrence Multi‐Information Time‐Frequency Transformer Networks

  2025cites this paper
• A pruning-aware dynamic slimmable network using meta-gradients for high-speed train bogie bearing fault diagnosis.

  2025cites this paper
• Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning

  2025cites this paper
• Real-time control parameter update and stochastic tool wear monitoring framework for nonlinear micro-milling process

  2025cites this paper
• The STAP-Net: A new health perception and prediction framework for bearing-rotor systems under special working conditions

  2024cites this paper
• A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges

  2024cites this paper
• A survey of deep learning-driven architecture for predictive maintenance

  2024cites this paper
• Artificial intelligence and edge computing for machine maintenance-review

  2024cites this paper
• A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings

  2024cites this paper
• Advancements in bearing remaining useful life prediction methods: a comprehensive review

  2024cites this paper
• Multilinear principal component analysis-based tensor decomposition for fabric weave pattern recognition from high-dimensional streaming data

  2024cites this paper
• A three-directional stress-strain model-based physics-embedded prediction framework for metal tube full-bent cross-sectional characteristics

  2024cites this paper
• Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis

  2024cites this paper
• Collaborative Training of Data-Driven Remaining Useful Life Prediction Models Using Federated Learning

  2024cites this paper
• Collaborative Intelligent Prediction Method for Remaining Useful Life of Hard Disks Based on Heterogeneous Federated Transfer

  2024cites this paper
• Anomaly detection in smart manufacturing: An Adaptive Adversarial Transformer-based model

  2024cites this paper
• A feature disentanglement and unsupervised domain adaptation of remaining useful life prediction for sensor-equipped machines

  2023cites this paper
• TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning

  2023cites this paper
• Federated Learning in Manufacturing: A Systematic Review and Pathway to Industry 5.0

  2023cites this paper
• Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning

  2023cites this paper
• Implementation of Digital Twin-Assisted Condition Monitoring and Fault Diagnosis for Wind Turbines

  2023cites this paper
• Dynamic weighted federated remaining useful life prediction approach for rotating machinery

  2023cites this paper
• Maximum subspace transferability discriminant analysis: A new cross-domain similarity measure for wind-turbine fault transfer diagnosis

  year unknowncites this paper