Shaho Ghanei

  AWT IMAGE

  Iran University of Science and Technology

 Electrical Engineering Department

 

  269

  Session of defence for fulfillment of the degree of Master of Science

  AWT IMAGE

  Detection of rotor eccentricity fault in BLDC motors operating under Nonstationary conditions

  Abstract:

  Diagnosis and Condition monitoring of BLDC motors due to their rapidly growing applications, especially in harsh and critical ones, have a special importance. Early detection of faults could allow preventive maintenance to be performed and provide sufficient time for controllers to shut down the affected process. Rotor is one of the major sources of faults in motors. On-time detection of rotor eccentricity fault in BLDC motors operating in Nonstationary conditions by using modified Motor Current Signature Analysis method (MCSA) is the main emphasis of this research. In order to simulate the transient electrical and mechanical parameters of the healthy and faulty motor, the two dimensional Finite Element Method (FEM) is used. Since in Nonstationary conditions motor current signal is Nonstationary, the ordinary Motor Current Signature Analysis method can not be used. In this research a novel method is proposed. Current of the motor which is operating in Nonstationary condition, will be sampled based on rotor angle instead of time. Then order analysis is implied on the sampled current signal of healthy and eccentric rotor motor. Finally by comparing the order analysis of these two signals, feature of the rotor eccentricity fault will be extracted and the detection scheme will be completed.

   Student: Shaho Ghanei

  Supervising professor: Dr A.R. Rahmati

  Outside defence committee member: Dr Sh. Kaboli

  Defence committee members: Dr S. Mirzakouchaki ; Dr A. Abrishamifar

  Date of the defence : Monday, June 28, 201 Time: 8 AM

  Place: Seminar room, Electrical Engineering Building No. 1

 


View: 3441 Time(s)   |   Print: 1061 Time(s)   |   Email: 95 Time(s)   |   0 Comment(s)