Precision Engineering: Exploring Computer Models for Rotating Machine Vibration Analysis


Authors : Faisal AlDhahi; Khaled AlRuwaih

Volume/Issue : Volume 8 - 2023, Issue 12 - December

Google Scholar : http://tinyurl.com/4u38n8rh

Scribd : http://tinyurl.com/euspza33

DOI : https://doi.org/10.5281/zenodo.10376981

Abstract : This paper explores the integration of computer models in analyzing vibration in rotating machinery, reshaping precision engineering. Through dynamic simulations, computer models offer a cost-effective and time-efficient alternative to direct experimentation, advancing fault detection and performance evaluation. Pioneering research highlights their efficacy in diagnosing structural faults, monitoring system health, and enhancing diagnostic capabilities through techniques like Empirical Mode Decomposition. Interdisciplinary collaboration between computer science, physics, materials science, and structural engineering underscores the field's evolution. Integrating computer models revolutionizes fault detection, highlighting precision engineering's interdisciplinary essence. This paper aims to evaluate their effectiveness, analyze diagnostic capabilities, and contribute to advanced tools, fostering potential breakthroughs akin to precision medicine.

This paper explores the integration of computer models in analyzing vibration in rotating machinery, reshaping precision engineering. Through dynamic simulations, computer models offer a cost-effective and time-efficient alternative to direct experimentation, advancing fault detection and performance evaluation. Pioneering research highlights their efficacy in diagnosing structural faults, monitoring system health, and enhancing diagnostic capabilities through techniques like Empirical Mode Decomposition. Interdisciplinary collaboration between computer science, physics, materials science, and structural engineering underscores the field's evolution. Integrating computer models revolutionizes fault detection, highlighting precision engineering's interdisciplinary essence. This paper aims to evaluate their effectiveness, analyze diagnostic capabilities, and contribute to advanced tools, fostering potential breakthroughs akin to precision medicine.

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