The paper deals with the problems of robust fault detection using soft computing techniques, in particular neural networks (Group Method of Data Handling, GMDH), multi-layer perceptron), and neuro-fuzzy networks (Takagi-Sugeno model). The model based approach to Fault Detection and Isolation (FDI) is considered. The main objective is to show how to employ the bounded-error approach to determine...

Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors including variable and unreliable conditions of the rocks and cutting machines. The Group Method of Data Handling (GMDH) type of neural network and Radial Basis Functi...

The safety of power transmission systems in wind turbines is crucial to the turbine’s stable operation and has attracted a great deal attention condition monitoring farms. Many different intelligent schemes have been developed detect occurrence defects via supervisory control data acquisition (SCADA) data, which most commonly applied system turbines. Normally, artificial neural networks are est...

The GMDH algorithms for solving interpolation problems of artificial intelligence differ from each other in the form of the reference function and the iteration rules of the multilayer model structure. In some multilayer algorithms, the number of terms in the iteration rule is constant, which leads to the skipping of some models. In the algorithm called combinatorial, the iteration rule increas...

This study concerns numerical simulation, modeling and optimization of aerodynamic stall control using a synthetic jet actuator. Thenumerical simulation was carried out by a large-eddy simulation that employs a RNG-based model as the subgrid-scale model. The flow around a NACA0015 airfoil, including a synthetic jet located at 10 % of the chord, is studied under Reynolds number Re = 12.7 × 106 a...

The evaluation of road safety is a critical issue having to be conducted for successful management in transport systems, whereas considered transportation systems as challenging task according the dynamic this and presence large number effective parameters on safety. Therefore, analysis important contributing factors affecting vehicles involved crashes play key role increasing efficiency For pu...

In this paper, we propose the design procedure of advanced Polynomial Neural Networks(PNN) architecture fo r optimal model identification of complex and nonlinear system. The proposed PNN architecture is presented as the generic and advanced type. The essence of the design procedure dwells on the Group Method of Data Handling (GMDH). PNN is a flexible neural architecture whose structure is deve...

Medical applications are often characterized by a large number of disease markers and a relatively small number of data records. We demonstrate that complete feature ranking followed by selection can lead to appreciable reductions in data dimensionality, with significant improvements in the implementation and performance of classifiers for medical diagnosis. We describe a novel approach for ran...

Most isolators have numerous displacements due to their low stiffness and damping properties. Accordingly, the supplementary systems vital roles in enhancement lower isolation system displacement. Nevertheless, many cases, even by utilising additional dampers systems, occurrence of residual displacement is inevitable. To address this issue, study, a new smart type bar hysteretic equipped with s...