Abstract
Prediction of the machinery or process malfunction states is one of the important and challenging task for knowledge engineers. Nowadays it is a common situation, that the reliable companies collect all kind of important knowledge and by the work of knowledge engineers remake it for well known know-how. The problem we would like to solve is touching the area of objective computer-aided engineering systems. The new proposal of the method for judgments of the expert rules collected in the databases which is arbitral in our opinion has been described in this article. New method based on aggregation process of subjective marks of reasoning rules from independent experts, which gives back an more objective parameters for faster computing of the reasoning process. Thanks to this the malfunctions can be reduced to minimum or much faster eliminate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
CEDES AG. Safety and automation. Landquart (2005) ISBN 3-9522402-1-4
Dolderer, P., Teichmann, R.: EMC The easy way - Pocket Guide. ZVEI, Frakfurt (2004)
Hetmanczyk, M.P., Michalski, P., Swider, J.: Utilization of advanced self-diagnostic functions implemented in frequency inverters for the purpose of the computer-aided identification of operating conditions. J. Vibroeng. 14(1), 117–122 (2012)
Kriesel, W.R., Madelung, O.W., Werner, R.: AS_Interface the Actuator-Sensor Interface for Automation. Hanser, Wien (1999)
Kriesel, W.R., Madelung, O.W., Werner, R.: AS_Interface The Actuator-Sensor Interface for Automation. Supplement to the 2nd edn. Hanser, Wien (2002)
Krenczyk, D., Kalinowski, K., Grabowik, C.: Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, S.-B. (eds.) HAIS 2012, Part II. LNCS, vol. 7209, pp. 274–283. Springer, Heidelberg (2012)
Grabowik, C., Krenczyk, D., Kalinowski, K.: The Hybrid Method of Knowledge Representation in a CAPP Knowledge Based System. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, S.-B. (eds.) HAIS 2012, Part II. LNCS, vol. 7209, pp. 284–295. Springer, Heidelberg (2012)
Michalski, P., Swider, J.: System wspomagania diagnostyki sieci przemysłowych AS-interface, Computer-aid system for AS-interface industrial network diagnosis. WPŚl, Gliwice (2008) (in Polish) ISBN 978-83-7335-478-4
Madelung, O.: AS-Interface in Real-Time Environment. Real-Time Magazine (4), 88–90 (1997)
Swider, J., Michalski, P., Wszolek, G.: Physical and geometrical data acquiring system for vibration analysis software. Journal of Materials Processing Technology 164, 1444–1451 (2005)
Moczulski, W.A.: Metody pozyskiwania wiedzy dla potrzeb diagnostyki maszyn, Methods of the data acquisition for machines diagnosis process. ZN Pol. Śląskiej nr 1382, s. Mechanika, z. 130, Gliwice (1997) (in Polish)
Moczulski, W.A.: Diagnostyka techniczna. Metody pozyskiwania wiedzy. Diagnostics. Knowledge acquisition methods. Monographic, Politechnika Śląska, WPSl, Gliwice (2002) (in Polish)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Michalski, P., Hetmańczyk, M.P., Świder, J. (2013). Simply-Integrated Method of Judgments of Expert Knowledge Collected in Databases for Objective Computer-Aided Engineering Systems. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-40846-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40845-8
Online ISBN: 978-3-642-40846-5
eBook Packages: Computer ScienceComputer Science (R0)