marshall@marshall.cs.unc.edu (Jonathan Marshall) (03/14/91)
====== TRIANGLE AREA NEURAL NETWORK INTEREST GROUP presents: ======
Dr. MO-YUEN CHOW
Department of Electrical and Computer Engineering
North Carolina State University
Tuesday, March 19, 1991
6:00 p.m. Entrance is locked at 6:30.
Microelectronics Center Building, MCNC
3021 Cornwallis Road
Research Triangle Park, NC
Followed immediately by an ORGANIZATIONAL MEETING for
the Triangle Area Neural Network Interest Group
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APPLICATION OF NEURAL NETWORKS TO INCIPIENT FAULT DETECTION IN
INDUCTION MOTORS
The main focus of the presentation is to introduce a new concept for
incipient fault detection in rotating machines using artificial neural
networks. Medium size induction motors are used as prototypes for
rotating machines due to their wide applications. The concepts
developed for induction motors can be easily generalized to other
rotating machines. The common incipient faults of induction motors,
namely, turn-to-turn insulation faults and bearing wear, and their
effects on the motor performance are considered. A corresponding
artificial neural network structure is then designed to detect those
incipient faults. The designed network is trained by data of
different fault conditions, obtained from a detailed induction motor
simulation program. After training, the neural net is tested with a
set of random data within the fault range under consideration. With a
priori data knowledge, the network structure can be greatly simplified
by using a high-order artificial neural network. The performance of
using the batch-update and pattern-update backpropagation training
algorithms for the network are compared. The satisfactory performance
of using artificial neural networks in this project shows the
promising future of artificial neural networks applications for other
types of fault detection.
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Co-Sponsored by:
Department of Electrical and Computer Eng., NCSU
Department of Computer Science, UNC-CH
Humanities Computing Facility, Duke Univ.
Microelectronics Center of North Carolina (MCNC)
Directions:
Raleigh: I-40 west to Durham Freeway (147) north, 147 to Cornwallis
exit.
Durham: 147 south to Cornwallis exit.
Chapel Hill: I-40 east to Durham Freeway (147) north, 147 to
Cornwallis exit.
FROM CORNWALLIS EXIT, bear right, go thru first set of traffic
lights, passing Burroughs Wellcome, then next driveway on right is
MCNC. When you enter MCNC, the Microelectronics Center building is
on the left.
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We invite you to participate in organizing and running the new
Triangle-area neural network (NN) interest group. It is our hope that
the group will foster communication and collaboration among the local
NN researchers, students, businesses, and the public.
For more information:
Jonathan Marshall (UNC-CH, 962-1887, marshall@cs.unc.edu) or
John Sutton (NCSU, 737-5065, sutton@eceugs.ece.ncsu.edu).