Energy resource evaluation from technical diagnostics of electromechanical devices in minerals sector

Electromechanical devices (EMD) in the minerals sector are above all subjected to wear because of the operating conditions. Advanced detection of equipment defects is the basis of true condition evaluation and energy efficiency enhancement of EMD. The studies of the asynchronous motor stator current modulations for the advanced detection of incipient defects are carried out in terms of bearings. The proposed approach uses the singular value decomposition of generalized current and the time series recovery. The experiments with simulation of bearing damage revealed the relationship of change in components of time series with variouslevel defects in the bearing. This makes it possible to identify initiation of a defect at an earlier stage. The data presentation structure enables forming component diagnostics cards to be used subsequently in periodic assessments and detection of changes in operation of electromechanical devices. Using the proposed approaches, the authors analyze the mathematical apparatus and indicators of contribution made by the change in the technical condition of equipment at the loss of electric power per operation stages. The power loss evaluation at the early stages of defect formation makes provision for the improvement of energy efficiency and fail-safety of electromechanical devices in the minerals sector owing to the advanced control.

Korolev N. A., Zhukovskiy Y. L., Buldysko A. D., Baranov G. D., Chen P. Energy resource evaluation from technical diagnostics of electromechanical devices in minerals sector. MIAB. Mining Inf. Anal. Bull. 2024;(5):158-181. [In Russ]. DOI: 10.25018/0236_1493_ 2024_5_0_158.

The study was supported by the Russian Science Foundation, Grant No. 23-79-01292, https://rscf.ru/project/23-79-01292/.

N.A. Korolev¹, Cand. Sci. (Eng.), Leading Researcher, e-mail: korolev_na@pers.spmi.ru, ORCID ID: 0000-0002-0583-9695,
Y.L. Zhukovskiy¹, Cand. Sci. (Eng.), Assistant Professor, e-mail: zhukovskiy_yul@pers.spmi.ru, ORCID ID: 0000-0003-0312-0019,
A.D. Buldysko¹, Graduate Student, e-mail: georgii.baranov@metalab.ifmo.ru, ORCID ID: 0000-0001-6614-6238,
G.D. Baranov, Leading Engineer, ITMO University, 197101, Saint-Petersburg, Russia, e-mail: georgii.baranov@metalab.ifmo.ru, ORCID ID: 0000-0001-6614-6238,
P. Chen, PhD, China University of Mining and Technology, 221116, Xuzhou, China, e-mail: chenp@cumt.edu.cn, ORCID ID: 0000-0002-6595-1451,
¹ Empress Catherine II Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia.

N.A. Korolev, e-mail: korolev_na@pers.spmi.ru.

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