Performance Analysis Of Wiener Filter With Different Window Functions In Detecting Broken Rotor Fault In 3 Phase Induction Motor
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : K. C. Deekshit Kompella, Gopala Venu Madhav
|DOI : 10.14445/22315381/IJETT-V68I12P225|
MLA Style: K. C. Deekshit Kompella, Gopala Venu Madhav. Performance Analysis Of Wiener Filter With Different Window Functions In Detecting Broken Rotor Fault In 3 Phase Induction Motor International Journal of Engineering Trends and Technology 68.12(2020):153-159.
APA Style:K. C. Deekshit Kompella, Gopala Venu Madhav. Performance Analysis of Wiener Filter with different window functions in detecting Broken Rotor fault in 3 Phase Induction Motor International Journal of Engineering Trends and Technology, 68(12), 153-159.
Premature fault detection in induction motor has become popular due to its unavoidable relation with industries` financial and production aspects. Among the various faults endured, broken rotor bar (BRB) faults frequently occur in cage rotor type motors. These faults are difficult to identify in the current signature due to its spectral nearness. Therefore, many recent authors have concentrated on detecting these faults with no delay time and less complexity. Selection of proper filter with suitable window function is very crucial to achieve this and to elevate the series of sideband frequencies in the current spectrum. In this paper, the detection of BRB fault using Wiener filter (WF) with various window functions is presented. Performance of WF with these window functions is compared with classical WF using recorded signals of BRB fault from 1.5kW induction motor under different load conditions.
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Induction Motor, Rotor Faults, Current Signature Analysis, Wiener Filter, Window Functions.