Fault diagnosis of high-speed rotating machines using MATLAB
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Research Scholar, Mechanical Engineering Department, KLS’s Vishwanathrao Deshpande Institute of Technology, Haliyal, Karnataka, India 581329.
Mechanical Engineering Department, KLS’s Vishwanathrao Deshpande Institute of Technology, Haliyal, Karnataka, India 581329.
Submission date: 2022-12-10
Final revision date: 2023-03-23
Acceptance date: 2023-04-03
Online publication date: 2023-04-24
Publication date: 2023-04-24
Corresponding author
Mahesh B. Joshi   

Research Scholar, Mechanical Engineering Department, KLS’s Vishwanathrao Deshpande Institute of Technology, Haliyal, Karnataka, India 581329.
Diagnostyka 2023;24(2):2023208
Industrial high-speed rotating machines entail constant and consistent monitoring to prevent downtime, affecting quantity and quality. Complex machines need advanced intelligent fault diagnosis showing minimal errors. This work offers a MATLAB-based fault diagnosis for sugar industry machines. The preliminary survey for sugar factories is conducted to gain critical vibration problems in sugar industries. The vibration behaviour of physical industrial machines is obtained, and the signals are provided to a MATLAB program to identify the fault. The information helps to suggest remedies to include in the maintenance schedule. The ease and comprehensible nature of the method reduce time and enhance the reliability of condition monitoring for industrial machines.
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