Crack detection in PM-rotors using magnetic field measurement and data processing

Abersfelder S, Meyer AW, Heyder A, Herzog M, Franke J, Brela M (2018)


Publication Type: Conference contribution

Publication year: 2018

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2017-December

Pages Range: 1-6

Conference Proceedings Title: 2017 7th International Electric Drives Production Conference, EDPC 2017 - Proceedings

Event location: Wuerzburg DE

ISBN: 9781538610695

DOI: 10.1109/EDPC.2017.8328159

Abstract

Electric drives efficiency is determined by the mechanical and magnetic properties of the functional elements stator and rotor. Focus element for this investigation is the rotor including its permanent magnets. Due to several manufacturing influences the properties of those magnets vary considerably. Magnet failures that can occur during manufacture are cracks, blowholes or inclusions, which can lead to commutation problems or to increased noise [1]. Crack propagation is a long-lasting process and cause unintentional failure in field. Currently no automated quality inspection of micro cracks is available in electric drive production. Consequently, the challenge is to develop reliable and safe process concept, to separate bad from good rotors based on magnetic field measurements in order to detect failures at the internal or external assembled magnets. For this purpose, a data analyzing method was developed to identify and characterize micro cracks in already assembled permanent magnets.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Abersfelder, S., Meyer, A.W., Heyder, A., Herzog, M., Franke, J., & Brela, M. (2018). Crack detection in PM-rotors using magnetic field measurement and data processing. In 2017 7th International Electric Drives Production Conference, EDPC 2017 - Proceedings (pp. 1-6). Wuerzburg, DE: Institute of Electrical and Electronics Engineers Inc..

MLA:

Abersfelder, Sandra, et al. "Crack detection in PM-rotors using magnetic field measurement and data processing." Proceedings of the 7th International Electric Drives Production Conference, EDPC 2017, Wuerzburg Institute of Electrical and Electronics Engineers Inc., 2018. 1-6.

BibTeX: Download