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Towards a case-based computational model for the creative design of electromagnetic devices

Ouyang J., Lowther D.

Archives of Electrical Engineering

2011

Vol. 60, nr 4

485-496

In order to explore creativity in design, a computational model based on Case-Based Reasoning (CBR) (an approach to employing old experiences to solve new problems) and other soft computing techniques from machine learning, is proposed in this paper. The new model is able to address the four challenging issues: generation of a design prototype from incomplete requirements, judgment and improvement of system performance given a sparse initial case base library, extraction of critical features from a given feature space, adaptation of retrieved previous solutions to similar problems for deriving a solution to a given design task. The core principle within this model is that different knowledge from various level cases can be explicitly explored and integrated into a practical design process. In order to demonstrate the practical significance of our presented computational model, a case-based design system for EM devices, which is capable of deriving a new design prototype from a real-world device case base with high dimensionality, has been developed.

Metody identyfikacji modeli procesów wolnozmiennych na potrzeby diagnostyki technicznej

Tomasik P.

Zagadnienia Eksploatacji Maszyn

2007

Vol. 42, nr 4

223-235

W referacie przedstawiono metody bazujące na prostych sposobach przetwarzania danych pochodzących ze złożonego wolnozmiennego procesu przemysłowego o charakterze cyklicznym, w wyniku zastosowania których można byłoby otrzymać modele tych procesów. Opisano potrzebę opracowania tych metod oraz założenia jakie przyjęto dla ich zdefiniowania. Przedstawiono zaproponowane proste miary wyznaczania podobieństw cykli, wybrane wyniki wyszukiwania podobnych cykli oraz wnioski.

The paper deals with methods of modeling of slowly changing processes, based on simple data processing from complexed, slowly changing and periodical industrial process. There was presented a simple data processing definition, chosen results of similarity cycles searching and conclusions. The verification of prepared methods and then the assessment of their efficiency has been run using data from real technical object. Verification was an inductive proving the hypothesis, which was that cycle with enough similar input and enough similar steering, obtains enough similar output.