Wavelet-based analysis of MCSA for fault detection in electrical machine

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...

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Bibliographic Details
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/
http://psasir.upm.edu.my/id/eprint/47296/1/Wavelet-based%20analysis%20of%20MCSA%20for%20fault%20detection%20in%20electrical%20machine.pdf

Internet

http://psasir.upm.edu.my/id/eprint/47296/
http://psasir.upm.edu.my/id/eprint/47296/1/Wavelet-based%20analysis%20of%20MCSA%20for%20fault%20detection%20in%20electrical%20machine.pdf

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