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ITS » Master Theses » Sistem Tenaga - S2
Posted by anis at 23/12/2006 14:41:04  •  37081 Views


MONITORING GANGGUAN BEBAN MOTOR INDUKSI MENGGUNAKAN NEURAL NETWORK

MONITORING OF INDUCTION MOTOR LOAD DISTURBANCE USING NEURAL NETWORK

Author :
WITJAKSONO, HERDJANDJAM  




ABSTRAK

Motor Induksi banyak digunakan dalam industri karena kokoh serta handal dibandingkan dengan motor dc. Monitoring gangguan beban motor induksi dengan menggunakan sensor torsi akan sulit dideteksi untuk menutup kelemahan tersebut dan menghasilkan monitoring gangguan beban yang cepat dibuat sistem monitoring dengan metode unsupervised neural network. Dari simulasi yang telah dibuat didapatkan hasil bahwa metode unsupervised neural network selain mampu menampilkan pola gangguan beban juga mampu mengklasifikasikan pola gangguan beban. Dengan demikian monitoring gangguan beban pada motor induksi tidak memerlukan sensor torsi lagi tetapi cukup dilihat dari monitor komputer.


ABSTRACT

Induction motor is widely used in industries because it is more rugged and reliable than dc motors. It is hard to monitor induction motor load disturbances using sensors especially in harsh environtment such as toxic or radioactives ones. In order to solve the problems and provide a fast load disturbance monitoring a monitoring system with unsupervised neural network method has been used. From the result of the simulation that have been made monitoring load disturbance with unsupervised neural network method has been able to show the pattern of load disturbance and classify the kinds of load disturbances pattern. Thus monitoring load disturbance on induction motor not necessary torque censor but see enough personal computer monitor.



KeywordsMotor Induksi; Monitoring Gangguan Beban dan Unsupervised Neural Network. ; Induction motor; load disturbance monitoring and unsupervised neural network.
 
Subject:  sistem pengoperasian komputer
Contributor
  1. Dr. Ir.H. Mauridhi Hery P., M.Eng. Ir.
    Era Purwanto, M.Eng.
Date Create: 23/12/2006
Type: Text
Format: pdf ; 54 pages
Language: Indonesian
Identifier: ITS-Master-3100003018397
Collection ID: 3100003017833
Call Number: 006.32 Wit m


Source
Theses Electrical Engineering RT 006.32 Wit m, 2002

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Copyright @2002 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




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ITS-Master-3100003017833-192.pdf




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