Wavelet-based analysis of MCSA for fault detection in electrical machine
Early detection of irregularity in electrical machines is important because of their diversity of use in different fields. A proper fault detection scheme helps to stop the propagation of failure or limits its escalation to severe degrees, and thus it prevents unscheduled downtimes that cause loss o...
Saved in:
Main Authors: | Mehrjou, Mohammad Rezazadeh, Mariun, Norman, Karami, Mahdi, Mohd Noor, Samsul Bahari, Zolfaghari, Sahar, Misron, Norhisam, Ab. Kadir, Mohd Zainal Abidin, Mohd. Radzi, Mohd. Amran, Marhaban, Mohammad Hamiruce |
---|---|
Other Authors: | Baleanu, Dumitru |
Format: | Book Section |
Language: | English |
Published: |
InTech
2015
|
Online Access: | http://psasir.upm.edu.my/id/eprint/47296/1/Wavelet-based%20analysis%20of%20MCSA%20for%20fault%20detection%20in%20electrical%20machine.pdf http://psasir.upm.edu.my/id/eprint/47296/ https://www.intechopen.com/chapters/49571 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wireless sensors system for broken rotor bar fault monitoring using wavelet analysis
by: Mehrjou, Mohammad Rezazadeh, et al.
Published: (2015) -
Broken rotor bar detection of induction machine using wavelet packet coefficient-related features
by: Zolfaghari, Sahar, et al.
Published: (2014) -
Evaluation of Fourier and wavelet analysis for efficient recognition of broken rotor bar in squirrel- cage induction machine
by: Mehrjou, Mohammad Rezazadeh, et al.
Published: (2010) -
Rotor fault condition monitoring techniques for squirrel-cage induction machine-A review.
by: Mariun, Norman, et al.
Published: (2011) -
Performance analysis of line-start permanent magnet synchronous motor in presence of rotor fault
by: Mehrjou, Mohammad Rezazadeh, et al.
Published: (2014)