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

• 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

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...