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

Zhu, Q. and Wang, X. and Wang, H. and Xia, M. and Lu, S. and Liu, B. and Li, G. and Cao, W. (2021) Real-time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils. IEEE Transactions on Industrial Informatics. ISSN 1551-3203

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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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Industrial Informatics
Additional Information:
©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.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1710
Subjects:
?? barscircular flux sensing coilsfault diagnosisinduction motorsqfireal-time edge computingrotor defect detectionrotorsscimsensorsstator windingsstatorsvoltagedefectsedge computingfailure analysisfault detectionporositysquirrel cage motorscircular flux sens ??
ID Code:
164649
Deposited By:
Deposited On:
17 Jan 2022 10:19
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Sep 2024 00:50