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  <titleInfo>
    <title>Stator resistance estimation of induction motor using genetic algorithm</title>
  </titleInfo>
  <name type="personal">
    <namePart>Nurul Syamila Mohd Rosli</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
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  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
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    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiii, 44 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM</extent>
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  <abstract>Nowadays, induction motors are mainly used in all industrial especially in plant  industrial. In general, this motor is widely used because it is cheaper, easy to  maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor.  But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases.  In order to solve this issue, a genetic algorithm method is designed to estimate the   variation of stator resistance.  This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Nurul Syamila Mohd Rosli</note>
  <note>Project paper (Bachelor of Electrical Engineering (Power Systems) -- Universiti Malaysia Pahang - 2012</note>
  <note>Bibliography : p. 39-40</note>
  <subject authority="lcsh">
    <topic>Electric motors, Induction</topic>
  </subject>
  <identifier type="isbn">THE0006761(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">130819</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204547.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000073907</recordIdentifier>
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