Abstract
This work deals with the problems that are related to the condition monitoring of the selected technical object. For this purpose, specialized software called REx5 was developed. The REx5 is a modular expert system. Inference module of this system allows to conduct the inference process for two types of knowledge representation: the intuitionistic and Bayesian statement networks. All data required for the inference processes are stored in especially designed OPC UA Server with archive database of process data. Another module, designed to manage diagnostic tasks, allows to configure the parameters for condition monitoring of observed technical object. The simple liquid flow process control trainer is the studied object. This trainer allows for various control functions, like the control of the medium level in the tank, control of the flow rate, or control of the medium temperature. Additionally, the trainer is equipped with a data acquisition subsystem. The purpose of this subsystem is the acquisition values of the selected process signals and sharing these data for external systems used by OPC UA Server.
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Acknowledgements
Described herein are selected results of study, supported partly from the budget of Research Task No. 4 entitled “Development of integrated technologies to manufacture fuels and energy from biomass, agricultural waste and others” implemented under The National Center for Research and Development (NCBiR) in Poland and ENERGA SA strategic program of scientific research and development entitled “Advanced technologies of generating energy”.
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Rzydzik, S., Psiuk, K., Amarowicz, M., Rogala, T. (2018). Application of the REx5 Expert System to Condition Monitoring of the Simple Liquid Flow Process Control Trainer. In: Timofiejczuk, A., Łazarz, B.E., Chaari, F., Burdzik, R. (eds) Advances in Technical Diagnostics. ICTD 2016. Applied Condition Monitoring, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-62042-8_29
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DOI: https://doi.org/10.1007/978-3-319-62042-8_29
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