Stator and Rotor Faults Diagnosis of Squirrel Cage Motor Based on Fundamental Component Extraction Method
Joint Authors
Source
International Journal of Rotating Machinery
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Nowadays, stator current analysis used for detecting the incipient fault in squirrel cage motor has received much attention.
However, in the case of interturn short circuit in stator, the traditional symmetrical component method has lost the precondition due to the harmonics and noise; the negative sequence component (NSC) is hard to be obtained accurately.
For broken rotor bars, the new added fault feature blanked by fundamental component is also difficult to be discriminated in the current spectrum.
To solve the above problems, a fundamental component extraction (FCE) method is proposed in this paper.
On one hand, via the antisynchronous speed coordinate (ASC) transformation, NSC of extracted signals is transformed into the DC value.
The amplitude of synthetic vector of NSC is used to evaluate the severity of stator fault.
On the other hand, the extracted fundamental component can be filtered out to make the rotor fault feature emerge from the stator current spectrum.
Experiment results indicate that this method is feasible and effective in both interturn short circuit and broken rotor bars fault diagnosis.
Furthermore, only stator currents and voltage frequency are needed to be recorded, and this method is easy to implement.
American Psychological Association (APA)
An, Guoqing& Li, Hong-ru. 2017. Stator and Rotor Faults Diagnosis of Squirrel Cage Motor Based on Fundamental Component Extraction Method. International Journal of Rotating Machinery،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1169474
Modern Language Association (MLA)
An, Guoqing& Li, Hong-ru. Stator and Rotor Faults Diagnosis of Squirrel Cage Motor Based on Fundamental Component Extraction Method. International Journal of Rotating Machinery No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1169474
American Medical Association (AMA)
An, Guoqing& Li, Hong-ru. Stator and Rotor Faults Diagnosis of Squirrel Cage Motor Based on Fundamental Component Extraction Method. International Journal of Rotating Machinery. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1169474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169474