Home > Research > Publications & Outputs > Real-time Defect Detection of Die Cast Rotor in...

Electronic data

  • 1._Revised_manuscript_11.19

    Rights statement: ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 1.33 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Real-time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
  • Q. Zhu
  • X. Wang
  • H. Wang
  • M. Xia
  • S. Lu
  • B. Liu
  • G. Li
  • W. Cao
Close
<mark>Journal publication date</mark>20/12/2021
<mark>Journal</mark>IEEE Transactions on Industrial Informatics
Publication StatusE-pub ahead of print
Early online date20/12/21
<mark>Original language</mark>English

Abstract

The die cast rotor bars in squirrel cage induction motors (SCIMs) are easily subjected to porosity or other defects in production, which considerably affects the motors' reliability and efficiency in operation. Planar flux sensing coils have been investigated for the defect detection of SCIM rotor. However, these types of sensors cannot accurately evaluate the severity of porosity or broken bar. This study develops a novel instrument to inspect and quantitatively analyze the rotor quality of SCIM. The sensor consists of the electromagnetic flux sensing coils directly from a SCIM stator. By injecting a DC voltage at phases A and B of the sensor, the induced voltage signal is generated from phase C. A quantitative fault indicator (QFI) is constructed on the basis of the instrument voltage output. The variation trend of the QFI with respect to fault severity is investigated by establishing a theoretical sensor model. Experimental results indicate that the proposed method can accurately detect the porosity and broken bar and evaluate their severities for the die cast rotor. The developed solution can be easily implemented with low cost and computational complexity, which can achieve real-time inspection of SCIM rotor in the production line.

Bibliographic note

©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.