Latest Research in Machine Fault Diagnosis Techniques

Top Research Topics in Machine Fault Diagnosis Techniques

• Machine Fault Diagnosis Techniques — 7 papers
• Machine Learning — 4 papers
• Artificial Intelligence — 3 papers
• Systems and Control — 2 papers
• Topic Modeling — 2 papers
• Reliability and Maintenance Optimization — 2 papers
• Anomaly Detection Techniques and Applications — 2 papers
• Software System Performance and Reliability — 2 papers
• Quality and Safety in Healthcare — 2 papers
• Fault Detection and Control Systems — 1 papers

Highest-Cited Papers

1. Hybrid framework for on‐the‐fly diagnosis of energy inefficiency in multi‐unit processes based on data‐driven and knowledge‐based integration
2. Uncertainty and Business-Aware Remaining Useful Life Estimation for Semiconductor Manufacturing
3. Uncertainty and Business-Aware Remaining Useful Life Estimation for Semiconductor Manufacturing
4. LEADI: Operating-Mode-Aware Machine Condition Monitoring for Leak-Related Energy Anomalies—A Before-and-After Maintenance Study of a Single Production Asset
5. Learning, fast and slow: a two-fold data-based model adaptation algorithm for processes under varying operating conditions
6. Classifier-Grounded Small Language Models for Predictive Maintenance
7. Classifier-Grounded Small Language Models for Predictive Maintenance
8. Uncertainty measurement for complex event prediction in safety-critical systems
9. An Explainable GNN Framework for Component-Level Anomaly Diagnosis
10. From Time to Channels: Robust and Efficient Local Flaw Detection in Steel Wire Ropes Using Tri-Axis MFL Signals
11. A machine learning-driven approach to optimizing maintenance scheduling for industrial machinery
12. Organizational strategic decision support model in textile manufacturing enterprises under deep learning and knowledge graph
13. RPA-LSTM: Reversible normalization and prediction-assisted LSTM for aero-engine intake-system ECU anomaly detection
14. From Component Reliability to Dynamic Predictive Reliability: A Multilayer Framework for Cyber-Physical Systems
15. Awareness based internal reliability monitoring of streaming models using incremental principal component analysis
16. Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Reducing Manual Inspection Time
17. RHINO-MAG: Recursive H-Field Inference based on Observed Magnetic Flux Density under Dynamic Excitation
18. Explainable Temporal Analytics for Railway Compressor Failure Prediction and Anomaly Detection Shubham Gupta
19. Benchmarking Multi-Step Sensor Forecasting for Threshold-Based Predictive Maintenance: An Integrated IoT-to-Enterprise Framework
20. IDLIFT: Learning Dynamic Fault Trees from Interval-Based Temporal Event Tables