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Bearing fault diagnosis in 3 phase induction machine using current spectral subtraction with different wavelet transform techniques
Joint Authors
Kompella, K. C. Deekshit
Rao, M. Venugopala
Rao, R. Srinivasa
Prudviraju, K.
Source
Issue
Vol. 13, Issue 1 (31 Mar. 2017), pp.143-159, 17 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Algeria
No. of Pages
17
Main Subjects
Abstract EN
About sixty percent of the power in industries is consumed by induction machines, which implies induction machines are an integral part of industries.
Even though these motors are stalwart and rugged in construction, they often experiences faults due to long time usage without maintenance.
Bearing damage accounts 40% in the total faults and cause severe damage to the machine if unnoticed at nascent stage.
So these faults should be continuously monitored for efficient operation, otherwise may cause severe damage to the machine.
Conventional vibration monitoring is difficult due to requirement of high manpower and costly sensors.
So motor current signature analysis (MCSA) is widely used for detection and localization of these faults.
In this paper, the bearing faults are estimated by means of current frequency spectral subtraction using discrete wavelet transform.
In addition to this, the current signature analysis after spectral subtraction is carried out using discrete wavelet transform (DWT), stationary wavelet transform (SWT) and wavelet packet decomposition (WPD) and a comparative analysis is presented to estimate fault severity using statistical parameters.
The proposed model is assessed based on current signatures obtained from a 2.2 KW induction machine.
The experimental results acknowledged the effectiveness of proposed method.
American Psychological Association (APA)
Kompella, K. C. Deekshit& Rao, M. Venugopala& Rao, R. Srinivasa& Prudviraju, K.. 2017. Bearing fault diagnosis in 3 phase induction machine using current spectral subtraction with different wavelet transform techniques. Journal of Electrical Systems،Vol. 13, no. 1, pp.143-159.
https://search.emarefa.net/detail/BIM-723439
Modern Language Association (MLA)
Kompella, K. C. Deekshit…[et al.]. Bearing fault diagnosis in 3 phase induction machine using current spectral subtraction with different wavelet transform techniques. Journal of Electrical Systems Vol. 13, no. 1 (2017), pp.143-159.
https://search.emarefa.net/detail/BIM-723439
American Medical Association (AMA)
Kompella, K. C. Deekshit& Rao, M. Venugopala& Rao, R. Srinivasa& Prudviraju, K.. Bearing fault diagnosis in 3 phase induction machine using current spectral subtraction with different wavelet transform techniques. Journal of Electrical Systems. 2017. Vol. 13, no. 1, pp.143-159.
https://search.emarefa.net/detail/BIM-723439
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 158-159
Record ID
BIM-723439