Abstract
The structured notation using an identification of relations between key process data and functional characteristics of distributed systems has been presented in the paper. Such approach allows obtaining optimal form mapping the structures stored in a PLC‘s memory and also forming reciprocal relationships between hardware devices. Described notation is used at the stage connected with elaboration of diagnostic and prognostic functions. The authors have proposed an universal notation in a domain of sets, which can be used in identification of operational data indispensable in phase connected with a definition of program structures. A particular attention was given to stages connected with optimization necessity of number of main parameters (especially an isolation of a minimal data set required at control and diagnosis stages in case of distributed drives). Revised data sets combine both quantitative and qualitative features, allowing simultaneously for a reconstruction of the structural relationships between real components of distributed systems (a minimization of technical documentation).
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Hetmańczyk, M.P., Świder, J., Wszołek, G. (2014). The Systematized Data Structures Oriented Towards Diagnosis and Prediction. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Recent Advances in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-319-05353-0_7
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DOI: https://doi.org/10.1007/978-3-319-05353-0_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05352-3
Online ISBN: 978-3-319-05353-0
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