A proposed EQRNN-plus-spiking-neural-network architecture for industrial robot failure prediction claims 92.3% accuracy with a 90-hour warning, but the preprint provides no validation details.
Predictive mainten ance plan- ning for industry 4.0 using machine learning for sustainabl e manufacturing
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Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics
A proposed EQRNN-plus-spiking-neural-network architecture for industrial robot failure prediction claims 92.3% accuracy with a 90-hour warning, but the preprint provides no validation details.