Health monitoring systems (HMSs) capture of physiological measurements through
biosensors (sensing), obtain significant properties and measures from the output signal …

Modern economic, social and environmental challenges require a new type of construction
that ensures resilience, low construction costs and ease of maintenance. Material …

Aiming at the shortcomings of the BP neural network in practical applications, such as easy
to fall into local extremum and slow convergence speed, we optimized the initial weights and …

Micro-seismic (MS) technique can be used to appreciate rock failure process and severity of
damage by quantifying micro-earthquakes in terms of time, location, grade, and energy …

Blasting operations create significant problems to residential and other structures located in
the close proximity of the mines. Blast vibration is one of the most crucial nuisances of …

Modern industry requires the development of new monitoring and diagnostic procedures,
which enable the detection, localization, and isolation of faults. For sustainable solutions in …

Rapid identification of infrastructure disruptions during a disaster plays an important role in
restoration and recovery operations. Due to the limitations of using physical sensing …

Artificial Intelligence (AI) is a broad discipline that uses powerful algorithms to emulate
important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is …

Sustainability is a core focus of modern advancements in energy and power systems. Citing
the significance of on-load tap changing transformers (OLTCTs) in distributed energy …

This paper presents a contribution to the fault monitoring approach and input–output
feedback linearization control of the induction motor (IM) in the closed-loop drive. Two kinds …