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Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset
Due to their high predictive performance, predictive maintenance applications have
increasingly been approached with Deep Learning techniques in recent years. However, as …
increasingly been approached with Deep Learning techniques in recent years. However, as …
Explainable Prediction of Manufacturing Anomalies via Convolutional Models and Layer-wise Relevance Propagation
Z Ling - 2024 - search.proquest.com
Anomaly prediction involves estimating defects in manufacturing products based on the
conditions of the processing line, as recorded by sensors. This task is crucial as it can …
conditions of the processing line, as recorded by sensors. This task is crucial as it can …
Integration of Deep Learning Models and Explanatory Models to Detect Anomalous Periods in Vital Signs of Mining Truck Engines
IKH Lima, EGC Arapa - 2024 IEEE XXXI International …, 2024 - ieeexplore.ieee.org
“Latex The Peruvian mining industry is beginning to adopt IoT technologies. The increasing
complexity of modern engines makes it crucial to implement predictive maintenance systems …
complexity of modern engines makes it crucial to implement predictive maintenance systems …