This paper presents the use of one-way analysis of variance ANOVA as an effective tool for
ranking the features calculated from diagnostic signals and evaluates their impact on the …

In this study, a predictive maintenance (PdM) system focused on feature selection for the
detection and classification of simulated defects in wind turbine blades has been developed …

Machine learning techniques have recently brought many improvements in the field of
machine's Prognostics and Health Management (PHM). The main objectives include …

This paper presents the results of a preliminary study of a self-excited acoustical system
(SAS) for nondestructive testing (NDT). The SAS system was used for mine excavation …

Overhead cranes are key machines in modern industry, used for transporting and loading
heavy loads. However, controlling them is difficult due to the variability of sling length and …

This paper presents a rigorous investigation into the efficacy of diverse preprocessing
methods for bearing fault classification, leveraging the comprehensive CWRU dataset. Four …

Forecasting addresses the need for demand decisions by using a set of methods that
identify future loads in sufficient detail to allow critical decisions to be made. Electricity …

The scope of the paper is focused on the development of a stand for learning object
regulation for the didactics of control systems in the power industry. The test system, based …

Overhead cranes are a key component of many industrial processes, enabling the rapid and
safe transportation of loads. An important aspect of their operation is reliability, including …

In today's world, mental health assessment is very important and crucial due to the current
lifestyle and other social factors. In this paper, an efficient K-nearest neighbor (K NN) …