Identification of significant intrinsic mode functions for the diagnosis of induction motor fault
Sangjin Cho1, Md Rifat Shahriar1, Uipil Chong1
1School of Electrical Engineering, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 680-749, South Korea sjcho75@ulsan.ac.kr, m.rifat@ieee.com, upchong@ulsan.ac.kr.
Abstract:
For the analysis of non-stationary signals generated by a non-linear process like fault of an induction motor, empirical mode decomposition (EMD) is the best choice as it decomposes the signal into its natural oscillatory modes known as intrinsic mode functions (IMFs). However, some of these oscillatory modes obtained from a fault signal are not significant as they do not bear any fault signature and can cause misclassification of the fault instance. To solve this issue, a novel IMF selection algorithm is proposed in this work.
Related Concept Videos
Wind Turbine Machine Models
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Three-Phase Short Circuit—Unloaded Synchronous Machine
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
Electro-mechanical Systems
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
Inductor in an AC Circuit
Force On A Current Loop In A Magnetic Field
Induction
A...


