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  <titleInfo>
    <title>Utilizing classical scaling for fault identification based on continuous-based process</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mira Syahirah Abd Wahit</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource manuscript="yes">text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>ix, 30 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM</extent>
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  <abstract>This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It also help to determine whether the process is working properly or not. This Statistical Process Control (SPC) will forms charts with data (control charts) to shown the result. This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). So from the technique that used in this study such as Principal Component Analysis, Statistical Process Control and Multivariate Statistical Process Monitoring (MSPM), this study will be develop which the most faster technique that will be detecting the fault in the system used.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Mira Syahirah Abd Wahit</note>
  <note>Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013</note>
  <note>Bibliography : p. 53</note>
  <subject authority="lcsh">
    <topic>Process control</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Quality control</topic>
    <topic>Statistical methods</topic>
  </subject>
  <identifier type="isbn">THE0004992(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">141113</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251117113235.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000083412</recordIdentifier>
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