Paper Title
DIGITAL TWIN BASED CONDITION MONITORING OF ROTATING MACHINERY USING STRESS AND VIBRATION ANALYSIS
Article Identifiers
Registration ID: IJNRD_324232
Published ID: IJNRD2604748
: https://doi.org/10.56975/ijnrd.v11i4.324232
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Authors
Keywords
Digital Twin, Predictive Maintenance, Rotating Machinery, Stress Analysis, Vibration Analysis, ANSYS Simulation
Abstract
ABSTRACT : Modern industries increasingly rely on predictive maintenance techniques to ensure reliability and reduce unexpected failures in mechanical systems. By creating a virtual version of a physical asset, digital twin technology makes it possible to continuously monitor and analyse its operating behaviour. In this study, a digital twin-based approach is proposed for monitoring the condition of rotating machinery using stress and vibration analysis. A shaft supported by a deep groove ball bearing (6206 series) is considered as the mechanical system for investigation. Finite element simulations are carried out using ANSYS to perform static structural analysis, modal analysis, and harmonic response analysis. These simulations help in evaluating the stress distribution and vibration characteristics of the system under operating conditions. The obtained results are processed using Python to extract maximum and minimum parameter values, which are used to represent the digital twin model of the equipment. In a practical implementation, sensor data from the physical system can be integrated with the simulation model to continuously monitor equipment health. The proposed framework demonstrates how digital twin technology can support condition monitoring and predictive maintenance of rotating machinery by identifying abnormal stress and vibration behaviour at an early stage.
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How To Cite (APA)
Dr. J.Praveena, M.Nandini Satya, & S.Nitya (April-2026). DIGITAL TWIN BASED CONDITION MONITORING OF ROTATING MACHINERY USING STRESS AND VIBRATION ANALYSIS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), h372-h380. https://doi.org/10.56975/ijnrd.v11i4.324232
Issue
Volume 11 Issue 4, April-2026
Pages : h372-h380
Other Publication Details
Paper Reg. ID: IJNRD_324232
Published Paper Id: IJNRD2604748
Research Area: Other area not in list
Author Type: Indian Author
Country: visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2604748.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604748
Crossref DOI: https://doi.org/10.56975/ijnrd.v11i4.324232
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