Fault diagnosis of DC motor based on parameter estimation and Fuzzy ARTMAP

J. Yang; X. Q. Liu; H. Y. Zhang

Fault diagnosis of DC motor based on parameter estimation and Fuzzy ARTMAP

J. Yang^*
, X. Q. Liu
, H. Y. Zhang

^*Corresponding author for this work

School of Transportation Science and Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

In order to improve the motor quality and realize system monitor, a new approach to diagnose motor faults is presented to estimate the electromechanical parameters of motor based on the block-pulse function series and classify motor faults based on Fuzzy ARTMAP neural network. The electromechanical parameters of motors can be acquired on line without stopping and loading motor. Thus the running state of motor is obtained. Because of the strong pattern recognition ability of Fuzzy ARTMAP neural network, it is employed to diagnose the type and magnitude of faults. The effectiveness of the proposed method is verified by the results of simulations and experiments.

Original language	English
Pages (from-to)	284-288
Number of pages	5
Journal	Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume	27
Issue number	3
State	Published - Jun 2001

Keywords

Electric motors
Fault diagnosis
Fuzzy ARTMAP neural networks
Parameter estimations

Cite this

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title = "Fault diagnosis of DC motor based on parameter estimation and Fuzzy ARTMAP",

abstract = "In order to improve the motor quality and realize system monitor, a new approach to diagnose motor faults is presented to estimate the electromechanical parameters of motor based on the block-pulse function series and classify motor faults based on Fuzzy ARTMAP neural network. The electromechanical parameters of motors can be acquired on line without stopping and loading motor. Thus the running state of motor is obtained. Because of the strong pattern recognition ability of Fuzzy ARTMAP neural network, it is employed to diagnose the type and magnitude of faults. The effectiveness of the proposed method is verified by the results of simulations and experiments.",

keywords = "Electric motors, Fault diagnosis, Fuzzy ARTMAP neural networks, Parameter estimations",

author = "J. Yang and Liu, \{X. Q.\} and Zhang, \{H. Y.\}",

year = "2001",

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language = "英语",

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journal = "Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics",

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publisher = "Beijing University of Aeronautics and Astronautics (BUAA)",

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T1 - Fault diagnosis of DC motor based on parameter estimation and Fuzzy ARTMAP

AU - Yang, J.

AU - Liu, X. Q.

AU - Zhang, H. Y.

PY - 2001/6

Y1 - 2001/6

N2 - In order to improve the motor quality and realize system monitor, a new approach to diagnose motor faults is presented to estimate the electromechanical parameters of motor based on the block-pulse function series and classify motor faults based on Fuzzy ARTMAP neural network. The electromechanical parameters of motors can be acquired on line without stopping and loading motor. Thus the running state of motor is obtained. Because of the strong pattern recognition ability of Fuzzy ARTMAP neural network, it is employed to diagnose the type and magnitude of faults. The effectiveness of the proposed method is verified by the results of simulations and experiments.

AB - In order to improve the motor quality and realize system monitor, a new approach to diagnose motor faults is presented to estimate the electromechanical parameters of motor based on the block-pulse function series and classify motor faults based on Fuzzy ARTMAP neural network. The electromechanical parameters of motors can be acquired on line without stopping and loading motor. Thus the running state of motor is obtained. Because of the strong pattern recognition ability of Fuzzy ARTMAP neural network, it is employed to diagnose the type and magnitude of faults. The effectiveness of the proposed method is verified by the results of simulations and experiments.

KW - Electric motors

KW - Fault diagnosis

KW - Fuzzy ARTMAP neural networks

KW - Parameter estimations

UR - https://www.scopus.com/pages/publications/0035354610

M3 - 文章

AN - SCOPUS:0035354610

SN - 1001-5965

VL - 27

SP - 284

EP - 288

JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics

JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics

IS - 3

ER -

Fault diagnosis of DC motor based on parameter estimation and Fuzzy ARTMAP

Abstract

Keywords

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