DocumentCode
784741
Title
Impaired-Cooling-Condition Detection Using DC-Signal Injection for Soft-Starter-Connected Induction Motors
Author
Zhang, Pinjia ; Du, Yi ; Dai, Jing ; Habetler, Thomas G. ; Lu, Bin
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
56
Issue
11
fYear
2009
Firstpage
4642
Lastpage
4650
Abstract
This paper proposes a monitoring scheme to detect the state of the cooling capability for soft-starter-connected induction motors. Based on the estimated stator-winding temperature via dc-signal injection, the cooling capability of the motor can be monitored online using only voltage and current sensors. The thermal parameters of a simplified thermal model of the induction motor are identified using an extended Kalman filter approach, as an indication of the motor cooling capability. The proposed scheme can warn the users for proactive inspection and maintenance in the case of cooling-condition deterioration. The proposed method has been validated from experimental results under three different cooling conditions and variable-load conditions. The errors of thermal-parameter identification are within 3%. The proposed cooling-condition monitoring scheme, combined with the stator-winding-temperature monitoring scheme, can provide complete thermal protection for soft-starter-connected induction motors.
Keywords
Kalman filters; condition monitoring; cooling; induction motor protection; starting; stators; current sensor; dc-signal injection; extended Kalman filter approach; impaired-cooling-condition detection; proactive inspection; soft-starter-connected induction motor; stator-winding-temperature monitoring scheme; thermal protection; thermal-parameter identification; AC motor protection; cooling; fault diagnosis; induction motor; resistance measurement; temperature measurement; thermal-variables measurement; thyristors;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2009.2021588
Filename
4895339
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