Speed variant motor fault diagnosis applying significant frequency bands

• Main Authors: Gheitasi, A., Moghavvemi, M., Omar , R.
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9746/
• Institution: Universiti Malaya

The need for proper diagnosis and prediction of motor faults is vital for reliable and smooth operation of industrial sites. This however, is expensive, complex and hard to meet the standard required of reliable protection system. The diagnosis problems are more serious in speed variant motors becau...