<ul><li>Accurately predicting the lifespan of critical device components is essential for maintenance planning and production optimization.</li><li>In this work, survival analysis is used to predict the lifespan of production printheads developed by Canon Production Printing.</li><li>Five techniques, including the Kaplan-Meier estimator, Cox proportional hazard model, Weibull accelerated failure time model, random survival forest, and gradient boosting, are applied to estimate survival probabilities and failure rates.</li><li>Quantitative evaluation demonstrates that survival analysis outperforms industry-standard baseline methods for printhead lifespan prediction.</li></ul>

Predicting the Lifespan of Industrial Printheads with Survival Analysis

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