Development of Experimental Setup for Machinery Fault Diagnosis of Mechanical Looseness and Bearing Defect


EOI: 10.11242/viva-tech.01.06.007

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Citation

Mr. Nawaz Nisar Sayyed, Mr. Omkar Dashrath Salvi, Mr. Himanshu Anil Rai, Mr.Pranesh Sanjay Padvekar, "Development of Experimental Setup for Machinery Fault Diagnosis of Mechanical Looseness and Bearing Defect", VIVA-IJRI Volume 1, Issue 6, Article 7, pp. 1-5, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Vibration measurements and vibration signal data analysis is extensively used for condition monitoring of ball bearings as their vibration signature tells important information about the defect’s development within them. Time domain analysis of a vibration signal such as peak-to-peak amplitude, root mean square, Crest factor and kurtosis indicates defects in ball bearings. However, these measures do not specify the position and/or nature of the defects. Therefore, we need to use frequency domain analysis to determine the fault in the system. Each defect produces typical vibrations in ball bearings. Hence, examining the vibration spectrum may give information on the type of defects. In this we will design the experimental setup to monitor the condition of the ball bearing and the machine looseness. The fault in the system need to be measured for the sake of the machine life span in order to increase the production capacity, life span and higher efficiency of the machine. Therefore, the co dition monitoring system is important to detect the fault and within the time limit the faulty component will be replaced before it damages to the whole machin.

Keywords

vibration, ball bearing, machine looseness, Time domain analysis, Frequency domain analysis defects.

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