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The paper is aimed at presenting a study of the main limitations and problems influencing the robustness of diagnostic algorithms used in diagnostics of complex chemical processes and to present the selected exemplary solutions of how to increase it. The five major problems were identified in the study. They are associated with: uncertainties of fault detection and reasoning, changes of the diagnosed process structure, delays of fault symptoms formation and multiple faults. A brief description and exemplary solutions allowing increase of the robustness of diagnostic algorithms were given. Proposed methods were selected keeping in mind applicability for the on-line monitoring and diagnostics of complex chemical processes.
Since its introduction in 2001, natural time analysis has been applied to diverse fields with remarkable results. Its validity has not been doubted by any publication to date. Here, we indicate that frequently asked questions on the motivation and the foundation of natural time analysis are directly answered if one takes into account the following two key points that we have considered as widely accepted when natural time analysis was proposed: first, the aspects on the energy of a system forwarded by Max Planck in his Treatise on Thermodynamics; second, the theorem on the characteristic functions of probability distributions which Gauss called Ein Schönes Theorem der Wahrscheinlichkeitsrechnung (beautiful theorem of probability calculus). The case of the time series of earthquakes and of the precursory Seismic Electric Signals are discussed as typical examples.
In the paper transient processes of the electromagnetic-mechanical system are researched. Numerical experiments for transient analysis were carried out by software intended for simulation of electrical and electronic circuits by diakoptic methods where the large circuit is split on several parts – sub-circuits. Every part of the circuit is simulated independently on some time step. Numerical experiments have shown wide potential possibilities of proposed simulation method and its effectiveness.
W pracy omówiono badanie stanów nieustalonych w systemach elektromagnetyczno-mechanicznych. Do numerycznego modelowania stanów nieustalonych wykorzystano oprogramowanie wykorzystujące metody diakoptyczne, w których złożony system jest rozbijany na pod-systemy analizowane niezależnie dla każdego kroku czasowego. Eksperymenty numeryczne pokazały wiele potencjalnych zastosowań tej metody i jej efektywność.
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