Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line neutral voltage of three-phase squirrel cage induction motor. (1st February 2017)
- Record Type:
- Journal Article
- Title:
- Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line neutral voltage of three-phase squirrel cage induction motor. (1st February 2017)
- Main Title:
- Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line neutral voltage of three-phase squirrel cage induction motor
- Authors:
- Oumaamar, Mohamed El Kamel
Maouche, Yassine
Boucherma, Mohamed
Khezzar, Abdelmalek - Abstract:
- Abstract: The mixed eccentricity fault detection in a squirrel cage induction motor has been thoroughly investigated. However, a few papers have been related to pure static eccentricity fault and the authors focused on the RSH harmonics presented in stator current. The main objective of this paper is to present an alternative method based on the analysis of line neutral voltage taking place between the supply and the stator neutrals in order to detect air-gap static eccentricity, and to highlight the classification of all RSH harmonics in line neutral voltage. The model of squirrel cage induction machine relies on the rotor geometry and winding layout. Such developed model is used to analyze the impact of the pure static air-gap eccentricity by predicting the related frequencies in the line neutral voltage spectrum. The results show that the line neutral voltage spectrum are more sensitive to the air-gap static eccentricity fault compared to stator current one. The theoretical analysis and simulated results are confirmed by experiments. Abstract : Highlights: We demonstrate the classification of RSHs in line neutral voltage of three-phase squirrel cage induction motor. Special emphasis is laid upon certain RSHs to monitor static eccentricity. The approach was confirmed by experiments. The appearance of certain RSHs facilitates the detection of static eccentricity.
- Is Part Of:
- Mechanical systems and signal processing. Volume 84:Part A(2017)
- Journal:
- Mechanical systems and signal processing
- Issue:
- Volume 84:Part A(2017)
- Issue Display:
- Volume 84, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 84
- Issue:
- 1
- Issue Sort Value:
- 2017-0084-0001-0000
- Page Start:
- 584
- Page End:
- 597
- Publication Date:
- 2017-02-01
- Subjects:
- Condition monitoring -- Fault diagnosis -- FFT -- Induction motor -- Rotor mechanical faults -- Static air-gap eccentricity
Structural dynamics -- Periodicals
Vibration -- Periodicals
Constructions -- Dynamique -- Périodiques
Vibration -- Périodiques
Structural dynamics
Vibration
Periodicals
621 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08883270 ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0888-3270;screen=info;ECOIP ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ymssp.2016.07.016 ↗
- Languages:
- English
- ISSNs:
- 0888-3270
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5419.760000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7451.xml