Development of Experimental Setup for Machinery Fault


EOI: 10.11242/viva-tech.01.06.033

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Citation

Ms. Anas Shaikh, Ms. Sandeep Rahate, Ms. Hritik Rane, Darshil Rathod, "Development of Experimental Setup for Machinery Fault ", VIVA-IJRI Volume 1, Issue 6, Article 33, pp. 1-5, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The traditional industry is shifting towards the ‘industry 4.0’ that incorporates automatic fault detection and correction. Industry 4.0 also includes online condition monitoring to make maintenance decisions based on the health of a single machine. Vibration monitoring is one of the primary techniques for the condition monitoring of machines. Shaft misalignment and rotor unbalance are the primary sources of vibration in machines. We will focus on identifying fault conditions using measurements of vibration taken from rotary machines. Detection of sources of vibration will be made based on the amplitude and phase relationships of the vibrations of machine parts. This study describes a model-based technique for fault diagnosis of a system. Using the residual generation technique, residual vibrations are generated from experimental results for a rotating system subjected to misalignment and unbalance. we need to use frequency domain analysis to determine the fault in the system. Each defect produces characteristic vibrations in rotating machines. Hence, analyzing the vibration spectrum can provide insight into the types of faults. The outcomes obtained using the method are evaluated for misalignment and rotor unbalance.

Keywords

vibration, industry 4.0, Time domain analysis, Frequency domain analysis, defects.

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