NDLI: A novel cooling condition monitoring method for induction motors based on particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Yi Du Pinjia Zhang Zhi Gao Habetler, T.G.
Copyright Year	2009
Description	Author affiliation: Schneider Electric Center for Innovation and Technology, Knightdale, NC 27545, USA (Zhi Gao) \|\| School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, 30332, USA (Yi Du; Pinjia Zhang; Habetler, T.G.)
Abstract	Prolonged induction motor operations under impaired cooling conditions can lead to overtemperature of motor components, which leads to accelerated degradation of motor windings, bearings and stator cores. This paper proposes a novel cooling condition monitoring method to detect and classify impaired cooling conditions. A second-order thermal model is used to characterize thermal behaviors of induction motors. Particle swarm optimization is applied to identify thermal parameters under the thermal transient. Impaired cooling conditions can be classified by observing the trend of changes in the identified stator and rotor thermal resistances. The proposed method has been validated by experiments on a 7.5-hp induction motor with open drip proof enclosure.
Starting Page	2321
Ending Page	2325
File Size	386323
Page Count	5
File Format	PDF
ISBN	9781424428939
DOI	10.1109/ECCE.2009.5316054
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Condition monitoring Stator cores Induction motors Cooling Thermal resistance Induction motor protection Stator windings Rotors Acceleration Particle swarm optimization Thermal model Thermal degradation
Content Type	Text
Resource Type	Article

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