4 papers
Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory
Nehal Afifi, Mehdi Khabou, Victor Mas +5
Returned products in circular factories re-enter production with heterogeneous degradation states, usage histories, and remaining capability. Reuse cannot be decided from the curre…
Anomaly Detection for Electro-Hydrostatic Actuators using LSTM Autoencoder
Nehal Afifi, Abdelmonem Elhendawi, Felix Leitenberger +2
Electro-Hydrostatic Actuators (EHAs) are widely used in aerospace and industrial systems, where timely detection of sensor anomalies is essential to ensure safe and reliable operat…
Data-Driven Methods and AI in Engineering Design: A Systematic Literature Review Focusing on Challenges and Opportunities
Nehal Afifi, Christoph Wittig, Lukas Paehler +8
The increasing availability of data and advancements in computational intelligence have accelerated the adoption of data-driven methods (DDMs) in product development. However, thei…
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction
Ines Boujnah, Nehal Afifi, Andreas Wettstein +1
Bolted joints are critical in engineering for maintaining structural integrity and reliability. Accurate prediction of parameters influencing their function and behavior is essenti…