e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Detection of Bearing Faults of Induction Motor Using Park's Vector Approach
Authors : Neelam Mehala, Ratna Dahiya
Keywords : LabVIEW.
Issue Date : Aug 2010
Abstract :
The reliability of an induction motor is of paramount importance in industrial, commercial, aerospace and military applications. Bearing play an important role in the reliability and performance of all motor systems. Due to close relationship between motor system development and bearing assembly performance, it is difficult to imagine the progress of modern rotating machinery without consideration of the wide application of bearing. Most faults arising in motors are often linked to bearing faults. This paper presents an experimental study to diagnose the bearing fault with help of Park's vector approach. The experiment is conducted on 0.5 hp three phase induction motor. The bearing faults are replicated in the laboratory by drilling the outer and inner race of ball bearing with help of electric discharge machining. The LabVIEW software is used in the experiment to acquire the signal. The acquired signal is analyzed with Park vector approach. The current Park's vector presentation is generated by programming in LabVIEW. The practical results show that Park's Vector approach is an effective technique to diagnose the bearing fault at early stage.
Page(s) : 263-266
ISSN : 0975-4024
Source : Vol. 2, No.4