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Author

Yu.N. Kozhubaev

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Open access Nov 2026

Comprehensive anomaly detection method for predictive maintenance of belt conveyors

Belt conveyors are critical transport systems in the mining, manufacturing, and logistics industries. Unforeseen failures lead to costly downtime and safety risks. Existing monitoring systems based on traditional threshold methods often trigger false alarms due to transient process disturbances and fail to provide time...

Yu.N. Kozhubaev, A. A. Gradetskiy, K.Yu. Fedorov · 0 citations
Open access 2026

Fault Diagnosis of Mining Machine Gearboxes Based on Continuous Wavelet Transform and Machine Learning

In the context of the accelerating process of digitalization and automation of coal mines, the role of gearboxes in the mining industry is undeniable. The stability of their operational condition is directly related to the safety and efficiency of coal production. However, considering their widespread industrial use, g...

Yu.N. Kozhubaev, V. N. Khokhlovsky, М. П. Королëв et al. · 0 citations

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