Machine Fault Detection Using Condition Monitoring Techniques: A Review

Download
Download is available until
  • Version
  • Download 2
  • File Size 667.17 KB
  • File Count 1
  • Create Date 7 July, 2025
  • Last Updated 7 July, 2025

Authors: Gajendra K Rinayat , Bhavesh S Likhar, Viraj S Giri, Ritik G Gaidhane,Tanuj P Bakde, Amit R Bhende

DOI : 10.46335/IJIES.2024.9.8.8

Abstract - This research proposes an integrated approach that combines many condition monitoring approaches for equipment failure identification. It looks at acoustic emission, vibration analysis, thermography, oil analysis, and each of these analyses offers a different perspective on the condition of the equipment. The objective is to maximize the combined potential of these methods to raise the precision and consistency of defect uncovering. Toward increase the accuracy and consistency of fault identification, the research highlights the need of integrating different monitoring systems. In addition, it highlights areas that need further research and talks about future directions for machine fault detection. To help researchers, practitioners, and business professionals maximize the potential of condition monitoring to improve equipment performance and reliability, the article provides useful information about the numerous condition monitoring techniques used to discover machine failures. It highlights recent advancements and provides a summary of existing information.