NDLI: Induction motor design using neural network

Content Provider	IEEE Xplore Digital Library
Author	Idir, K. Chang, L. Dai, H.
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada (Idir, K.; Chang, L.)
Abstract	This paper presents the application of a neural network in optimizing design parameters of an induction motor. This approach is based on training the neural network with data generated from an optimization technique. A backpropagation with adaptive learning rate algorithm is utilized in training the network. Once trained, the neural network will be capable of producing a set of optimum motor design parameters for a given motor specification in a very short time and with little effort. The results shown in this study indicate that a well trained neural network can fulfil the task of a motor design successfully and therefore presents a good alternative approach in machine design that may have features of both speed and accuracy.
Starting Page	277
Ending Page	279
File Size	303231
Page Count	3
File Format	PDF
ISBN	0780327667
ISSN	08407789
DOI	10.1109/CCECE.1995.528128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Neural networks Design optimization Stator cores Neurons Process design Constraint optimization Induction generators Algorithm design and analysis Manufacturing industries
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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