Authors: D.V. Bykov, Yu.A. Lagunova, A.E. Sushko
Title of the article: Application of automated expert systems for assessing the technical condition of equipment at mining enterprises
Year: 2025, Issue: 6, Pages: 16-22
Branch of knowledge: 2.8.8. Geotechnology, Mining machines (engineering)
Index UDK: 622.23.05
DOI: 10.26730/1816-4528-2025-6-16-22
Abstract: Evaluation of the actual technical condition of mining equipment is an interesting and relevant task. A large number of works are devoted to the development of expert systems for assessing the technical condition of objects. This article provides a generalized experience in using the expert system of the SAFE PLANT hardware and software complex in terms of the impact of the results of automated assessment of the technical condition on the process of adjusting the strategy for equipment maintenance. An analysis of the effectiveness and sufficiency of automated expert vibration diagnostic rules for the timely detection of violations of the integrity of dynamic equipment without involving maintenance technical personnel in this work is performed. Theoretical and experimental studies are carried out, based on the analysis of the use of automated expert system tools, a model for assessing the timeliness of the response of repair services to prevent emergency shutdowns of equipment is proposed. The results of the studies are based on the formed logic of the hybrid model of the expert system of the SAFE PLANT hardware and software complex for assessing the technical condition of conveyor, pumping and draft equipment of various mining enterprises in the country. The analysis of the efficiency of using expert system conclusions by the maintenance and repair system (MRO) employees in the process of planning and carrying out equipment repairs was performed. The results obtained in this study indicate the possibility of early detection of defects at an early stage of their development. High fault tolerance of dynamic equipment in the mining industry allows for long-term monitoring of the development of defects in the equipment, which leads to the possibility of personal adjustment of the strategy for maintenance of units in order to prevent their emergency shutdowns in the conditions of a mining enterprise.
Key words: expert system SAFE PLANT automated assessment hybrid model maintenance and repair fault tolerance mining
Receiving date: 31.10.2025
Approval date: 14.11.2025
Publication date: 18.12.2025
This work is licensed under a Creative Commons Attribution 4.0 License.