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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
    <eissn>2328-7292</eissn>
    <publicationDate>2014-01-07</publicationDate>
    <volume>2</volume>
    <issue>1</issue>
    <startPage>29</startPage>
    <endPage>33</endPage>
    <doi>10.12691/ajams-2-1-5</doi>
    <publisherRecordId>AJAMS2014215</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Evaluation of Mean Time to System Failure of a Repairable 3-out-of-4 System with Online Preventive Maintenance</title>
    <authors>
      <author>
        <name>U.A. Ali</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Saminu I. Bala</name>
        <affiliationId>2</affiliationId>
        <affiliationId>3</affiliationId>
      </author>
      <author>
        <name>Ibrahim Yusuf</name>
        <email>Ibrahimyusuffagge@gmail.com</email>
        <affiliationId>3</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Mathematics, Usmanu Danfodio University, Sokoto, Nigeria</affiliationName>
      <affiliationName affiliationId="2">Department of Mathematical Sciences, Bayero University, Kano, Nigeria</affiliationName>
    </affiliationsList>
    <abstract language="eng">Most of the literature assumed that systems undergo preventive maintenance. Little literature is found on whether the preventive maintenance is online or offline. It is known that most of the engineering systems undergo both online and offline preventive maintenance. In this paper, we studied the mean time to system failure of a repairable redundant 3-out-of-4 system with online preventive maintenance involving four types of failures. We develop the explicit expressions for mean time to system failure for the system using Chapman-Kolmogorov equations. Various cases are analyzed graphically to investigate the impact of system parameters on mean time to system failure. Results have shown that system with online preventive maintenance is better in terms of mean time to system failure of system than system without preventive maintenance.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/2/1/5/ajams-2-1-5.pdf</fullTextUrl>
    <keywords language="eng">Mean time to system failureonline preventive maintenance</keywords>
  </record>
</records>