Concept of mining haulage equipment failure prediction based on network analysis

The article discusses development of a network model for predicting failures of dump trucks in open pit mining. The model uses failure statistics and the network analysis of data from sensors mounted on the machines. The study aims at reduction of emergency downtimes in mining using advanced information and communication technologies. The modern methods of time series processing, such as the Fourier Transform, wavelet analysis and fractal analysis. The application of the network analysis allows finding metrics sensitive to the change in equipment condition, which favors accurate prediction of time of probable failures. The proposed prediction model aims to reduce emergency downtimes and enhance equipment efficiency. The algorithms of transformation of time series to network structures, including visibility graphs, which ensures demonstrativeness and precision of the analysis are described. The pilot introduction of the model is planned with a view to monitoring and optimizing key units of dump trucks as an important step in digitization of mining equipment maintenance.

Zyryanov I. V., Nepomnyashchikh K. A., Trufanov A. I., Khramovskikh V. A., Shevchenko A. N. Concept of mining haulage equipment failure prediction based on network analysis. MIAB. Mining Inf. Anal. Bull. 2024;(9):160-180. [In Russ]. DOI: 10.25018/ 0236_1493_2024_9_0_160.

I.V. Zyryanov¹, Dr. Sci. (Eng.), Professor, Professor, Institute of Subsoil Use; e-mail: zyryanoviv@inbox.ru, Head of Chair, Polytechnic Institute (branch), M.K. Ammosov North-Eastern Federal University, 678170, Mirny, Russia,
K.A. Nepomnyashchikh¹, Graduate Student, Assistant of Chair, Institute of Subsoil Use, e-mail: nka@istu.edu,
A.I. Trufanov¹, Cand. Sci. (Phys. Mathem.), Senior Researcher, Assistant Professor, School of Information Technology and Data Science, e-mail: troufan@istu.edu,
V.A. Khramovskikh¹, Cand. Sci. (Eng.), Assistant Professor, Assistant Professor, Institute of Subsoil Use, e-mail: wax@istu.edu,
A.N. Shevchenko¹, Cand. Sci. (Eng.), Assistant Professor, Assistant Professor, Director, Institute of Subsoil Use, e-mail: shan@istu.edu,
¹ Irkutsk National Research Technical University, 664074, Irkutsk, Russia.

K.A. Nepomnyashchikh, e-mail: nka@istu.edu.

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