Latest Research in Reliability and Maintenance Optimization
47 research papers · 2026 median publication year
Top Research Topics in Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques — 17 papers
- Reliability and Maintenance Optimization — 4 papers
- Structural Health Monitoring Techniques — 3 papers
- Wave and Wind Energy Systems — 2 papers
- Machine Learning — 2 papers
- Hydraulic and Pneumatic Systems — 2 papers
- Systems and Control — 2 papers
- Seismology and Earthquake Studies — 1 papers
- Underwater Vehicles and Communication Systems — 1 papers
- Advanced Control Systems Design — 1 papers
Highest-Cited Papers
- Joint fault prediction and remaining useful life estimation for large-scale mining equipment based on temporal convolutional network and multi-head self-attention
- Edge seismic phase picking: Model distillation for multimodal early-warning systems
- Digital twin fault diagnosis method for high speed train Bogies based on HGKN-SINDy and residual graph sequences
- Industrial robot fault detection and diagnosis for intelligent maintenance: A review of data, methods, and emerging trends
- Autoregressive Semi‐Connected Autoencoder for Remaining Useful Life Prediction of Rolling Bearings With Threshold‐Free First Prediction Time Detection
- Leakage-aware benchmark of deep learning for underwater propeller blade-count recognition: code, per-fold results, and model checkpoints
- Chebyshev change-point detection with meta-learning adaptive boundary correction for few-shot multi-stage rolling bearing RUL prediction
- Remaining useful life prediction under noisy conditions via adaptive degradation modeling incorporating memory effects
- Semi-Supervised Domain-Adversarial Mooring Damage Detection for Floating Offshore Wind Turbines Under Unseen Sea States
- Gate Resonance-State Identification Method Based on GAN and Multi-Scale CNN
- Fractional Hammerstein Modeling of the Heating Process With Exponential Static Nonlinearity Identified Via The Honey Badger Approach
- Propeller Fault Classification for Unmanned Aerial Vehicles and Explainable Artificial Intelligence-Based Feature–Model Matching
- A health-state assessment method for electromechanical actuators in reusable rockets based on channel-aware temporal memory
- Life risk prediction and evaluation of electric drive input shaft bearings under naturalistic driving conditions
- Gradient-free method for multiple soft-fault diagnosis in linear analog circuits
- Robust Fault Detection in Mechanical Multimodal Time Series via Self-Supervised Cross-Modal Reconstruction
- Modified residual network architecture for early-stage piston-cylinder wear detection in hydraulic axial piston pumps
- Lifelong dictionary learning for dynamical system fault detection: A Bayesian perspective
- A Machine Learning Framework for Fault Detection, Isolation, and Severity Prediction of Autonomous VTOL Aircraft
- End-to-end virtual sensing with head tracking using a temporal convolutional network for active road noise control