METHODS OF TECHNOLOGICAL MACHINERY MONITORING AND FAULT DIAGNOSIS

Authors

  • Kayumov Ahror Muminjonovich Teacher, Fergana branch of the Tashkent university of information technologies named after Muhammad al-Khorazmi.

Keywords:

Technological machinery, Monitoring methods, Fault diagnosis, Sensor-based monitoring, Data analytics, Machine learning, Digital twin technology, Internet of Things (IoT), Expert systems.

Abstract

The continuous advancement of technological machinery in various industries necessitates effective monitoring and fault diagnosis methodologies to ensure optimal performance and minimize downtime. This paper explores diverse methods employed in the field of technological machinery monitoring and fault diagnosis, aiming to enhance reliability and efficiency.

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Published

2023-10-04

How to Cite

Kayumov Ahror Muminjonovich. (2023). METHODS OF TECHNOLOGICAL MACHINERY MONITORING AND FAULT DIAGNOSIS. Intent Research Scientific Journal, 2(10), 11–17. Retrieved from https://intentresearch.org/index.php/irsj/article/view/219

Issue

Vol. 2 No. 10 (2023): IRSJ

Section

Articles

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