Fault Detection, Diagnosis and Prognosis of Motor Vibration Analyzer
Pavan Kumar BK1*, Yadavalli Basavaraj2 and Keerthi Kumar N3
1Assistant Professor, Department of Mechanical Engineering, Ballari Institute of Technology & Management, Ballari - 583104, Karnataka, India
2Professor & Principal, Department of Mechanical Engineering, Ballari Institute of Technology & Management, Ballari - 583104, Karnataka, India
3Assistant Professor, Mechanical Department, B.M.S. Institute of Technology & Management, Bangalore – 560078, India
*Corresponding Author: Pavan Kumar BK, Assistant Professor, Department of Mechanical Engineering, Ballari Institute of Technology & Management, Ballari - 583104, Karnataka, India.
Published: May 09, 2024
Abstract
For the beyond few years research on gadget fault detection, prognosis and prognosis have been evolved hastily. Fault detection intends to decide the faults present within the monitored method, at the same time as fault diagnosis seeks to become aware of the reasons of the faults electrical machines factors are used in lots of industrial applications. The crucial thing to display the device and evaluate their safety and reliability. Fault detection is used to discover malfunctions in real time, as quickly and as in reality as possible. Vibration size is a nicely-set up method for circumstance monitoring of rotating machines because the vibration patterns range relying on the fault or system situation. this paper summarizes the latest techniques of fault detection and analysis in vibration dimension thru wavelets on device factors.
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