JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN
Online ISSN : 1884-4758
Print ISSN : 0388-3051
ISSN-L : 0388-3051
Volume 7, Issue 7
Displaying 1-5 of 5 articles from this issue
  • [in Japanese], [in Japanese], [in Japanese]
    1972Volume 7Issue 7 Pages 502-507
    Published: July 01, 1972
    Released on J-STAGE: May 31, 2010
    JOURNAL FREE ACCESS
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  • [in Japanese]
    1972Volume 7Issue 7 Pages 508-517
    Published: July 01, 1972
    Released on J-STAGE: May 31, 2010
    JOURNAL FREE ACCESS
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  • [in Japanese], [in Japanese]
    1972Volume 7Issue 7 Pages 518-524
    Published: July 01, 1972
    Released on J-STAGE: May 31, 2010
    JOURNAL FREE ACCESS
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  • [in Japanese]
    1972Volume 7Issue 7 Pages 525-528
    Published: July 01, 1972
    Released on J-STAGE: May 31, 2010
    JOURNAL FREE ACCESS
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  • Takeshi Hashimoto, Kuninori Ishizuka
    1972Volume 7Issue 7 Pages 529-548
    Published: July 01, 1972
    Released on J-STAGE: May 31, 2010
    JOURNAL FREE ACCESS
    This paper proposes the following processes due to some two principles to get some sauction of early failure for marine equipement.
    P1. to divide time after ship in service into a quasi-early failure term and a quasirandom failure one.
    P2, to get average failure rate Μó, Μí of their terms respectively.
    P3. the failure condition is considered to settle down the random failure term when the failure rate M is smaller than Μí.
    P4, consequently let the term till the random failure term the sanction of the early failure term, then to get the average failure rate Μó, Μí from both of the failure reports member and the early failure and random failure terms respectively.
    P5, to get the percentage of failure cause to total reports at designing, manufacturing and using stages for the early and random terms respectively.
    Some results are as follows (six turbine ships, four diesel ships) from the adoptation them to 1470 failure reports from ten ships put in service for the last seven years;
    1) each average months for investigation; (32.7, 37), total reports number; (967, 503), their total average failure rate of a kind of ship group Μs; (4. 93, 3.41/ month) .
    2) total computed months of early failure; (30, 31), each total failure reports of early/random failure rate term (482/485, 125/378), their average failure Μó; (15.9, 5.09), Μí (2.95, 2.26/month) .
    3) the percentage of failure cause at manufacturing and useing stage, in the early failure term (78. 1/21.9, 55. 1/44.9), in the random (50.6/49.4, 40.0/60.0 C%J) .
    Furthermore the following failure transition modes can be postulated due to the comparation among Μs, Μó and Μí.
    I {Μó, Μís} ; the most stable, II {Μos1} ; stable
    III {Μós< Μí, } ; unstable, IV {Μó, Μís} ; the most unstable
    Then these modes can interprete considerablely if the enviroment and level of design, manufacture and treatment for marine equipement are stable or unstable, it is proved that there are some good relation between these modes and the “characteristics” of the early failure.
    It is testified that these processes are reasonable to be adopted to ten cargo ships, but should be more improved by many other examples.
    It is noted that they can be not only practiced by a computor but also extended to other problems concerning to maintenance and warning alarm problems as well as the early failure of marine equipement.
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