Natural or human-induced variability emerged from investigation of the traditional stationary assumption regarding extreme precipitation analyses. The frequency rainfall occurrence is expected to increase in future and neglecting these changes will result underestimation events. However, applications extremes accept stationarity that assumes no change over time. Thus, non-stationarity 5, 10, 15...

Studying the theoretical properties of optimization algorithms such as genetic and evolutionary strategies allows us to determine when they are suitable for solving a particular type problem. Such study consists three main steps. The first step is considering Stochastic Global Optimization Algorithms (SGoals ), i.e., iterative algorithm that applies stochastic operations set candidate solutions...

The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...