The reliable estimation of remaining useful life (RUL) of rolling bearings plays a critical role in maintaining the reliability of modern industrial equipment and minimizing machine downtime. However, the conventional vibration-based prognostic methods tend to experience challenges in predicting the remaining useful life of rolling bearings in variable-speed operating environments due to issues with nonstationary signals and the lack of incorporation of physical degradation processes. This paper proposes a physics-informed approach for estimating the remaining useful life of rolling bearings using vibration envelope characteristics and accelerated life testing. The approach starts with the use of order tracking combined with envelope analysis to extract vibration envelope characteristics under variable speed conditions. A health index is constructed to represent the degradation process. The nonlinear degradation process is modelled using a physics-informed exponential degradation model. An ensemble prediction model is proposed for predicting RUL. The results demonstrate that the developed model was significantly more accurate in its predictions, with a maximum of 49% improvement in the RMSE compared to traditional models and consistent results under varied operational conditions. The use of physics-based modelling and envelope analysis increased the clarity and robustness of the model, and the acceleration of the life testing process contributed to better generalizability of the model. Moreover, the introduction of adaptive threshold values improved maintenance time prediction by over 50%, and uncertainty assessment confirmed the validity of the model.
Suleiman Ibrahim Mohammad, A. Vasudevan, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
The use of gamification to improve engagement, motivation and learning in education is a growing phenomenon. With gamified strategies increasingly being applied to educational reform in countries around the world, it is critical to map the changing research landscape. This research undertook a bibliometric study of gamification in learning to map research trends, leading authors and institutions, and emerging themes – with a specific focus on their relevance to Quality Education (SDG 4). This study extracted information from the SCOPUS database and used VOSviewer to map and visualize 2,324 peer-reviewed publications from 2000 to 2025 (Hwang et al., 2020) The U.S. is the world's leading contributor (434 documents) and Acosta et al. (2025) (16 documents) are the most productive authors. The VOSviewer analysis identified four distinct clusters: Cluster 1 focuses on student engagement, active learning, and instructional design, highlighting gamification's impact on student motivation and performance; Cluster 2 relates to gamification in medical and nursing education, using simulation and clinical training; Cluster 3 investigates immersive technologies, including augmented reality and virtual reality; and Cluster 4 relates to gamification in corporate and professional workforce development – a new research trajectory that is seeing a rapid increase in research. This study affirms the close alignment between emerging research themes on gamification and the principles of Quality Education (SDG 4). This bibliometric study offers educators, policymakers, and researchers’ evidence-based insights to guide the development of efficient, responsive, and inclusive gamification approaches for various learning contexts.
V. Muriira, A. Vasudevan, J. Gikonyo et al.· International Journal of Lea...· 0 citations