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State of Predictive Maintenance | Report | ScienceToStartup
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Predictive Maintenance
State of Predictive Maintenance
4 papers · avg viability 5.3
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TimeCast
dynamic prediction framework
multi-sensor data streams
real-time predictions
online model updates
Transformers
Top papers
Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
(7.0)
Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
(7.0)
On Using Machine Learning to Early Detect Catastrophic Failures in Marine Diesel Engines
(4.0)
Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
(3.0)
