DOMAIN ONTOLOGY DEVELOPMENT FOR CONDITION MONITORING SYSTEM OF INDUSTRIAL CONTROL EQUIPMENT AND DEVICES

Authors

  • L. O. Vlasenko Kyiv National University of Trade and Economics, Kyiv, Ukraine, Ukraine
  • N. M. Lutska National University of Food Technologies, Kyiv, Ukraine, Ukraine
  • N. A. Zaiets National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, Ukraine
  • A. V. Shyshak National University of Food Technologies, Kyiv, Ukraine, Ukraine
  • O. V. Savchuk National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2022-1-16

Keywords:

top-level ontology, BFO, domain ontology, failure, control equipment and devices

Abstract

Context. Modern intelligent systems of failure identification of control equipment and devices in food industry are based on a complexation of approaches implemented on various methods and algorithms. The feature of such systems is that within them operates a large amount of heterogeneous data and knowledge that are difficult to combine. The use of ontologies of different levels in the system development process solves this problem.

Objective. Domain ontology development for equipment condition monitoring system as a basis for designing intelligent decision support system with ontology knowledge base.

Methods. There are different ontology development approaches. They may differ in the quantity of levels and types of ontologies or be a combination of subject and problem domains ontologies depending on the complexity of the problem and the chosen ontology development method. This paper represents two levels of the three-level ontology being developed for intelligent condition monitoring system of control equipment and devices. The upper level is represented by top-level ontology Basic Formal Ontology (BFO) which provides systematization of the meta-level, including temporal part. International standards and technical reports such as IEC 62890, ISO 55000, ISA 95, ISA 106, IEC 62264, ISO 10303-242: 2020 are considered in the development process of the second ontology level – Domain ontology.

Results. The article provides Domain ontology for equipment condition monitoring system in food industry. The developed Domain ontology systematizes, structures engineering knowledge and uses BFO which provides a set of basic elements at the metalevel. They set the values of the following entities: type of production, methods of failure identification, causes, failures, events, equipment, etc. The developed Domain ontology has semantic cross-links. A fragment of the Domain ontology relationships for the “Control equipment” subclass of “Equipment” class is also presented in the paper.

Conclusions. The developed ontology can be used to analyze the knowledge base on the causes, locations and types of failures and their identification methods. The developed ontology is a basis for application ontology development.

Author Biographies

L. O. Vlasenko, Kyiv National University of Trade and Economics, Kyiv, Ukraine

PhD, Associate Professor of the Department of Software Engineering and Cyber Security

N. M. Lutska, National University of Food Technologies, Kyiv, Ukraine

PhD, Associate Professor of the Department of Automation and Computer Technologies of Control Systems

N. A. Zaiets, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine

Dr. Sc., Professor of the Department of Department of Automation and Robotic Systems

A. V. Shyshak, National University of Food Technologies, Kyiv, Ukraine

Postgraduate student of the Department of Automation and Computer Technologies of Control Systems 

O. V. Savchuk, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine

PhD, Senior lecturer of the Department of Power Supply named after Sinkov V.

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Published

2022-04-14

How to Cite

Vlasenko, L. O., Lutska, N. M., Zaiets, N. A., Shyshak, A. V., & Savchuk, O. V. (2022). DOMAIN ONTOLOGY DEVELOPMENT FOR CONDITION MONITORING SYSTEM OF INDUSTRIAL CONTROL EQUIPMENT AND DEVICES . Radio Electronics, Computer Science, Control, (1), 157. https://doi.org/10.15588/1607-3274-2022-1-16

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Section

Control in technical systems