Weibull++ Standard Folio Data CFM-Lognormal - Revision history

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2015-07-10T20:59:34Z

Redirected page to Template:WebNotes/Weibull++Standard Folio Data CFM

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	Often, a group of products will fail due to more than one failure mode. One can take the view that the products could have failed due to any one of the possible failure modes, but since an item cannot fail more than one time, there can only be one failure mode for each failed product. In this view, the failure modes compete as to which causes the failure for each particular item. This can be viewed as a series system reliability model, with each failure mode composing a block of the series system. Competing failure modes analysis segregates the analyses of failure modes and then combines the results to provide an overall model for the product in question.
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Chris Kahn at 10:05, 31 July 2012

2012-07-31T10:05:27Z

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Chris Kahn at 09:34, 26 July 2012

2012-07-26T09:34:54Z

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Kate Racaza at 13:04, 28 June 2012

2012-06-28T13:04:57Z

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Athanasios Gerokostopoulos at 23:51, 13 April 2012

2012-04-13T23:51:24Z

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Athanasios Gerokostopoulos at 23:46, 13 April 2012

2012-04-13T23:46:34Z

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Athanasios Gerokostopoulos at 23:43, 13 April 2012

2012-04-13T23:43:54Z

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	~~The objective~~ of ~~life data analysis is to fit a statistical distribution~~ to failure ~~time data in order~~ to ~~understand~~ the ~~reliability performance of a product over~~ time ~~or to make projections about future behavior. From the analysis~~, ~~you~~ can ~~estimate several life characteristics~~, ~~such~~ as ~~probability of~~ failure, reliability, ~~mean life or~~ failure ~~rate~~.		Often, a group of products will fail due to more than one failure mode. One can take the view that the products could have failed due to any one of the possible failure modes, but since an item cannot fail more than one time, there can only be one failure mode for each failed product. In this view, the failure modes compete as to which causes the failure for each particular item. This can be viewed as a series system reliability model, with each failure mode composing a block of the series system. Competing failure modes analysis segregates the analyses of failure modes and then combines the results to provide an overall model for the product in question.
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Chuck Smith at 23:59, 21 March 2012

2012-03-21T23:59:39Z

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	~~Often, a group~~ of ~~products will fail due~~ to ~~more than one failure mode.~~		The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.

	~~In order~~ to ~~begin analyzing data sets with more than one competing~~ failure mode, one must perform a separate analysis for each failure mode. During each of these analyses, the failure times for all other failure modes not being analyzed are considered to be suspensions. This is because the units under test would have failed at some time in ~~the future due~~ to the failure mode being analyzed, had the unrelated (not analyzed) mode not occurred. Thus, in this case, the information available is that the mode under consideration did not occur and the unit under consideration accumulated test time ~~without a failure due to the mode under consideration (~~or ~~a suspension due~~ to ~~that mode)~~.

	~~Once~~ the analysis ~~for each separate failure mode has been completed (using the same principles as before)~~, ~~the resulting reliability equation for all modes is the product of the reliability equation for each mode~~, ~~or:~~


	~~<math>R(t)={{R}_{1}}(t)\cdot {{R}_{2}}(t)\cdot ...\cdot {{R}_{n}}(t)</math>~~


	~~where <math>n</math> is the total number~~ of failure ~~modes considered. This is the product rule for the~~ reliability ~~of series systems with statistically independent components~~, ~~which states that the reliability for a series system is equal to the product of the reliability values of the components comprising the system. In Weibull++ this~~ life ~~distribution can be either the 2-parameter Weibull, lognormal, normal~~ or ~~the 1-parameter exponential~~.
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Nicolette Young at 21:53, 6 March 2012

2012-03-06T21:53:28Z

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	where <math>n</math> is the total number of failure modes considered. This is the product rule for the reliability of series systems with statistically independent components, which states that the reliability for a series system is equal to the product of the reliability values of the components comprising the system. In Weibull++ this life distribution can be either the 2-parameter Weibull, lognormal, normal or the 1-parameter exponential.		where <math>n</math> is the total number of failure modes considered. This is the product rule for the reliability of series systems with statistically independent components, which states that the reliability for a series system is equal to the product of the reliability values of the components comprising the system. In Weibull++ this life distribution can be either the 2-parameter Weibull, lognormal, normal or the 1-parameter exponential.
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			\| [http://reliawiki.com/index.php/Template:Competing_failure_modes#Competing_Failure_Modes the theory textbook...]
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