Various parameters influence on field distribution in eccentric disc-type permanent magnet machine based on analytical method

ABSTRACT

Eccentricity fault is a common fault in axial flux permanent magnet (PM) machines that can be destructive. The finite element method (FEM) has been already used for modelling eccentricity fault in disc type PM machine. Applying three-dimensional (3D) FEM to this motor is essential. However, 3D-FEM is a very time-consuming technique. Therefore, it is more appropriate to use an analytical technique to investigate the impact of different parameters upon the motor’s performance. The existing analytical methods usually represent a qualitative overview of the faulted machine. In this paper, a precise and quick analytic method is introduced, reflecting the impact of various important parameters, including rotor angle and fault position on the motor’s performance. This method enables the calculation of the induced voltage in a search coil. Comparing the results obtained from the proposed method and FEM, in both the no-load and full-load conditions, confirms the method’s accuracy. Finally, the impact of the search coil’s various parameters on dynamic and static eccentricity faults is examined. In addition, choosing the proper search coil pitch for eccentricity faults detection is discussed.

Keywords:

• Analytic modeling
• Axial-flux permanent-magnet machine
• Fault detection
• Eccentric fault
• Search coil

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Mohammad Rajabi-Sebdani

Mohammad Rajabi-Sebdani received the M.Sc. degree in electrical power engineering from the school of Electrical and Computer Engineering, University of Tehran, Iran, in 2008.Currently, he is working towards a Ph.D. degree in electrical engineering at the Shahrood University of Technology. His research interests include analysis, design, optimization, prototyping of electrical machines, modeling of electromagnetic systems, and fault diagnoses in permanent magnet motors and generators.

Ahmad Darabi

Ahmad Darabi received the B.Sc. degree in electrical engineering from Tehran University, Tehran, Iran, in 1989, and the M.Sc. degree inelectrical engineering from Ferdowsi University of Mashhad, Iran, in 1992. He received the Ph.D. degree with the electrical machine groupat Queen’s University of Belfast, Belfast, U.K., in 2002. Currently, he is a professor working with the Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran. His research activities are mostly in design, modeling, manufacturing, and fault diagnoses of electrical machines and generating sets.

Jawad Faiz

Jawad Faiz received the Master’s (Hons.) degree in electrical engineering from the University of Tabriz, Tabriz, Iran,in 1975, and his Ph.D. degree in electrical engineering from the University of Newcastle upon Tyne, Tyne, U.K., in 1988.Since February 1999, he has been a professor with the School of Electrical and Computer Engineering, College of Engineering,University of Tehran, Tehran, Iran, where he is currently the Director of the Center of Excellence on Applied Electromagnetic Systems. He is the author of 220 papers in international journals and 235 papers in international conference proceedings.His teaching and research interests include switched reluctance and VR motor design, design and modeling of electrical machines and drives, transformer modeling and design, and fault diagnosis in electrical machinery.