专题：Technical Engine Diagnostics and Monitoring

This cluster of papers focuses on advancements in transportation engineering and maintenance, with a particular emphasis on condition-based maintenance, energy policies, marine engine diagnostics, gas turbine blade assessment, semi-Markov modeling, intelligent transport systems, environmental impact analysis, and operational quality assessment. The research also delves into the application of big data analysis in optimizing transportation operations.
最新文献
Digital Twin Framework for Interpretable Aero-Engine RUL Prediction via Multibranch LSTM and Unity Visualization

article Full Text OpenAlex

CDAF: a co-evolutionary decoupled attention framework for explainable weak thermal fault diagnosis of marine diesel engines

article Full Text OpenAlex

Adaptive Cooperative Intra–Inter Domain Adversarial Network With Stage Division for RUL Prediction of Ship Electric Propulsion System

article Full Text OpenAlex

Data-Driven Health Index Estimation and Multiagent Deep Reinforcement Learning for Optimizing Aeroengine Maintenance Strategies

article Full Text OpenAlex

Multi-sensor spatial and multiscale temporal transformer guided by frequency-domain attention for aeroengine remaining useful life prediction

article Full Text OpenAlex

A heterogeneous graph neural network with spatial–temporal and operating condition-aware message passing mechanism for RUL prediction of aero-engines

article Full Text OpenAlex

Spatial-temporal graph hybrid neural network for remaining useful life prediction of aero-engines

article Full Text OpenAlex

Physics-guided neural process with adaptive learning for uncertainty quantification of aero-engine remaining useful life

article Full Text OpenAlex

Remaining useful life prediction of aero-engine using pyramid temporal convolutional network with fused complementary attention

article Full Text OpenAlex

A real-time reliability assessment framework for marine mechanical equipment integrating machine learning and physical knowledge: Toward applications in maritime autonomous surface ships

article Full Text OpenAlex

近5年高被引文献
Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural network

article Full Text OpenAlex 378 FWCI59.2506

Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture

article Full Text OpenAlex 300 FWCI23.9612

An integrated multi-head dual sparse self-attention network for remaining useful life prediction

article Full Text OpenAlex 264 FWCI28.5163

Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine

article Full Text OpenAlex 234 FWCI25.1926

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics

article Full Text OpenAlex 220 FWCI25.6721

A prognostic driven predictive maintenance framework based on Bayesian deep learning

article Full Text OpenAlex 184 FWCI31.72

Eksploatacja i Niezawodnosc - Maintenance and Reliability

paratext Full Text OpenAlex 182 FWCI0

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines

article Full Text OpenAlex 176 FWCI27.5876

Variational encoding approach for interpretable assessment of remaining useful life estimation

article Full Text OpenAlex 176 FWCI13.7398

An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine

article Full Text OpenAlex 175 FWCI18.8002