Vibration-Based Condition Monitoring of Induction Motors in Industrial Applications of Uzbekistan

Abstract:

Uzbekistan’s industrial sector, a major contributor to the nation’s projected 6.2% GDP growth in 2025, increasingly depends on the reliable operation of induction motors across key areas such as mining, energy, and manufacturing. In line with the “Uzbekistan 2030” strategy, the government’s modernization agenda emphasizes the integration of predictive maintenance technologies—particularly vibration-based condition monitoring—to enhance system reliability, reduce downtime, and extend motor lifespan. Within the energy sector, where aging infrastructure continues to challenge efficiency, vibration diagnostics play a vital role in detecting motor faults in power generation and transmission systems, thereby supporting tariff liberalization and privatization reforms. The mining industry, strengthened by the 2024 subsoil resource legislation, applies vibration analysis to critical machinery such as conveyors and pumps to ensure operational safety and energy efficiency during the exploration of rare earth elements. Furthermore, Free Economic Zones (FEZs) and Small Industrial Zones (SIZs) attract foreign investment in high-tech manufacturing, where the adoption of vibration-based monitoring systems supports import substitution and cost optimization. As Uzbekistan moves toward WTO accession by 2026, industrial enterprises are adopting advanced monitoring systems to meet international standards, improving competitiveness in export-oriented sectors like metallurgy and mechanical engineering. The growing implementation of IoT-enabled vibration sensors reflects a broader transition from reactive to predictive maintenance practices, fostering sustainability and productivity within newly privatized enterprises. Collectively, these developments position vibration-based condition monitoring as a critical component of Uzbekistan’s industrial transformation and its shift toward a resilient, market-oriented economy.

• Periodical: Advances in Science and Technology (Volume 181)
• Pages: 279-286
• DOI: https://doi.org/10.4028/p-fG2SGu
• Online since: August 2026
• Authors: Dilmurod Akbarov, István Bendiák, Sándor Semperger*
• Keywords: Machinery Diagnostics, Predictive Maintenance, Vibration-Based Condition Monitoring

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