Abstract
The present article covers the idea of the examination of the value of the k-th logics of diagnostic information related to the assessment of the states of complex technical items. For this purpose, an intelligent diagnostic system was presented whose particular property is the possibility to select any k-th logic of inference from set {k = 4, 3, 2}. An important part of this study is the presentation of theoretical grounds that describe the idea of inference in the multi-valued logic examined. Furthermore, it was demonstrated that the permissible range of the values of the properties of diagnostic signals constitutes the basis of the classification of states in multi-valued logic in the DIAG 2 diagnostic system. For this purpose, a procedure of the classification of states in selected values of multi-valued logic was presented and described. An important element in the functioning of diagnostic systems, i.e. the module of inference was presented, as well. The rules of diagnostic inference were characterized and described based on which the process of inference is realized in the system.
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Duer, S., Bernatowicz, D., Wrzesień, P., Duer, R. (2018). The Diagnostic System with an Artificial Neural Network for Identifying States in Multi-valued Logic of a Device Wind Power. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety. BDAS 2018. Communications in Computer and Information Science, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-319-99987-6_34
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