Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …

Thermal power plants are an important asset in the current energy infrastructure, delivering
ancillary services, power, and heat to their respective consumers. Faults on critical …

Pandemic events, particularly the current Covid-19 disease, compel organisations to re-
formulate their day-to-day operations for achieving various business goals such as cost …

Recent development in the predictive maintenance field has focused on incorporating
artificial intelligence techniques in the monitoring and prognostics of machine health. The …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Sensor monitoring networks and advances in big data analytics have guided the reliability
engineering landscape to a new era of big machinery data. Low-cost sensors, along with the …

Instrumentation is beneficial in civil engineering for monitoring structures during their
construction and operation. The data collected can be used to observe real-time response …

Predicting the remaining useful life (RUL) plays a crucial rule in the field of prognostics and
health management (PHM) for mechanical systems. Specifically within the domain of …

Developing data-driven predictive models is highly desirable for monitoring the condition of
infrastructure assets but is dependent on the generation of large data sets that are regularly …

Правильно сформированная стратегия технического обслуживания и ремонта
оборудования играет критическую роль в современных экономических условиях …