The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

The recirculator, a complex component within Automated Teller Machines (ATMs)
responsible for handling banknotes, poses a challenging task for fault diagnosis due to its …

Normalizing flow-based generative models have been widely used in applications where
the exact density estimation is of major importance. Recent research proposes numerous …

The industrial landscape is experiencing a significant transformation and there is a growing
emphasis on human-machine collaboration, personalization, and sustainable …

The daily increase of criminal activity has made real-time human activity detection crucial for
the protection & surveillance of public spaces, including bank-automated teller machines …

The rapid advancement of Internet of Things technology and the increasing availability of big
data have resulted in an exponential growth of time series data, highlighting a pressing …

Purpose This study aims to introduce an innovative approach to predictive maintenance by
integrating time-series sensor data with event logs, leveraging the synergistic potential of …

Computational intelligence-based approaches to fault-tolerant and self-healing control and
maintenance of dynamic systems | Engineering Applications of Artificial Intelligence skip to …

Анотація Магістерська дисертація: 134 с., 19 рис., 42 табл., 1 додаток, 43 джерела.
Мета роботи–розробка системи прогнозування операційних ризиків на основі методів …

Predicting machine faults is crucial for maintaining operational efficiency in industrial
settings, minimizing unplanned downtime, and ensuring customer satisfaction. Fault …