Warranty Analysis Usage Format Example - Revision history

Lisa Hacker at 18:55, 18 September 2023

2023-09-18T18:55:04Z

← Older revision		Revision as of 18:55, 18 September 2023
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	<noinclude>{{Banner Weibull Examples}}		<noinclude>{{Banner Weibull Examples}}
	''This example appears in the [~~[Warranty_Data_Analysis#Usage_Format\|~~Life ~~Data Analysis Reference book]~~]''.		''This example appears in the [https://help.reliasoft.com/reference/life_data_analysis Life data analysis reference]''.

Nicolette Young at 17:22, 23 December 2015

2015-12-23T17:22:39Z

← Older revision		Revision as of 17:22, 23 December 2015
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	In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).		In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).

	[[Image:Usage Example Weibull Std Folio Data.png\|center\|~~500px~~\| ]]		[[Image:Usage Example Weibull Std Folio Data.png\|center\|550px\| ]]

Nicolette Young at 17:19, 23 December 2015

2015-12-23T17:19:45Z

← Older revision		Revision as of 17:19, 23 December 2015
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	The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.		The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.

	[[Image:Usage Example Reliability Plot.png\|center\|~~550px~~\| ]]		[[Image:Usage Example Reliability Plot.png\|center\|600px\| ]]

	In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).		In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).

	[[Image:Usage Example Weibull Std Folio Data.png\|center\|500px\| ]]		[[Image:Usage Example Weibull Std Folio Data.png\|center\|500px\| ]]

Nicolette Young at 17:19, 23 December 2015

2015-12-23T17:19:21Z

← Older revision		Revision as of 17:19, 23 December 2015
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	The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.		The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.

	[[Image:Usage Example Reliability Plot.png\|center\|~~500px~~\| ]]		[[Image:Usage Example Reliability Plot.png\|center\|550px\| ]]

	In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).		In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).

	[[Image:Usage Example Weibull Std Folio Data.png\|center\|500px\| ]]		[[Image:Usage Example Weibull Std Folio Data.png\|center\|500px\| ]]

Kate Racaza at 17:06, 29 October 2015

2015-10-29T17:06:43Z

← Older revision		Revision as of 17:06, 29 October 2015
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	\| align="center" style="background:#f0f0f0;"\|'''Quantity Returned'''		\| align="center" style="background:#f0f0f0;"\|'''Quantity Returned'''
	\| align="center" style="background:#f0f0f0;"\|'''Usage at Return Date'''		\| align="center" style="background:#f0f0f0;"\|'''Usage at Return Date'''
	\| align="center" style="background:#f0f0f0;"\|'''~~Return~~ Date'''		\| align="center" style="background:#f0f0f0;"\|'''Date In-Service'''
	\|-		\|-
	\| 1\|\|9072\|\|Dec-09		\| 1\|\|9072\|\|Dec-09

Richard House at 21:49, 26 September 2012

2012-09-26T21:49:56Z

← Older revision		Revision as of 21:49, 26 September 2012
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	[[Image:Usage In-Service Weibull Data.png\|center\|500px\| ]]		[[Image:Usage In-Service Weibull Data.png\|center\|500px\| ]]

	In this example, the manufacturer has been documenting the mileage accumulation per year for this type of product across the customer base in comparable regions for many years. The yearly usage has been determined to follow a lognormal distribution with <math>{{\mu }_{T\prime }}=9.38</math> , <math>{{\sigma }_{T\prime }}=0.085</math>. The Interval Width is defined to be 1,000 miles. Enter the information about the usage distribution on the Suspensions page of the control panel, as shown next.		In this example, the manufacturer has been documenting the mileage accumulation per year for this type of product across the customer base in comparable regions for many years. The yearly usage has been determined to follow a lognormal distribution with <math>{{\mu }_{T\prime }}=9.38\,\!</math>, <math>{{\sigma }_{T\prime }}=0.085\,\!</math>. The Interval Width is defined to be 1,000 miles. Enter the information about the usage distribution on the Suspensions page of the control panel, as shown next.

	[[Image:Specify Usage Distribution.png\|center\|250px\| ]]		[[Image:Specify Usage Distribution.png\|center\|250px\| ]]
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	& {{\mu }_{T\prime }}= & 10.528098 \\		& {{\mu }_{T\prime }}= & 10.528098 \\
	& {{\sigma }_{T\prime }}= & 1.135150		& {{\sigma }_{T\prime }}= & 1.135150
	\end{align}</math>		\end{align}\,\!</math>

	The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.		The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.

Richard House at 05:43, 8 August 2012

2012-08-08T05:43:31Z

← Older revision		Revision as of 05:43, 8 August 2012
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	\| 30\|\|Nov-10		\| 30\|\|Nov-10
	\|-		\|-
	\|
	\|}		\|}

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	\| 1\|\|3250\|\|Nov-10		\| 1\|\|3250\|\|Nov-10
	\|-		\|-
	\|
	\|}		\|}

Richard House at 07:54, 7 August 2012

2012-08-07T07:54:42Z

← Older revision		Revision as of 07:54, 7 August 2012
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	Suppose that an automotive manufacturer collects the warranty returns and sales data given in the following tables. Convert this information to life data and analyze it using the lognormal distribution.		Suppose that an automotive manufacturer collects the warranty returns and sales data given in the following tables. Convert this information to life data and analyze it using the lognormal distribution.

	{\| border="1" ~~class~~="~~wikitable~~" style="~~margin~~: ~~1em auto 1em auto~~"		{\| border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
	\|+ '''Quality In-Service Data'''		\|+ '''Quality In-Service Data'''
	\|-		\|-
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	{\| border="1" ~~class~~="~~wikitable~~" style="~~margin~~: ~~1em auto 1em auto~~"		{\| border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
	\|+ '''Quality Return Data'''		\|+ '''Quality Return Data'''
	\|-		\|-

Richard House at 07:19, 6 August 2012

2012-08-06T07:19:45Z

← Older revision		Revision as of 07:19, 6 August 2012
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	Suppose that an automotive manufacturer collects the warranty returns and sales data given in the following tables. Convert this information to life data and analyze it using the lognormal distribution.		Suppose that an automotive manufacturer collects the warranty returns and sales data given in the following tables. Convert this information to life data and analyze it using the lognormal distribution.


	{\| border="1" class="wikitable" style="margin: 1em auto 1em auto"		{\| border="1" class="wikitable" style="margin: 1em auto 1em auto"
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	Create a warranty analysis folio and select the usage format. Enter the data from the tables in the '''Sales''', '''Returns''' and '''Future Sales''' sheets. The warranty data were collected until 12/1/2010; therefore, on the control panel, set the '''End of Observation Period''' to that date. Set the failure distribution to '''Lognormal''', as shown next.		Create a warranty analysis folio and select the usage format. Enter the data from the tables in the '''Sales''', '''Returns''' and '''Future Sales''' sheets. The warranty data were collected until 12/1/2010; therefore, on the control panel, set the '''End of Observation Period''' to that date. Set the failure distribution to '''Lognormal''', as shown next.

			[[Image:Usage In-Service Weibull Data.png\|center\|500px\| ]]
	[[Image:Usage In-Service Weibull Data.png~~\|thumb~~\|center\|500px\| ]]


	In this example, the manufacturer has been documenting the mileage accumulation per year for this type of product across the customer base in comparable regions for many years. The yearly usage has been determined to follow a lognormal distribution with <math>{{\mu }_{T\prime }}=9.38</math> , <math>{{\sigma }_{T\prime }}=0.085</math>. The Interval Width is defined to be 1,000 miles. Enter the information about the usage distribution on the Suspensions page of the control panel, as shown next.		In this example, the manufacturer has been documenting the mileage accumulation per year for this type of product across the customer base in comparable regions for many years. The yearly usage has been determined to follow a lognormal distribution with <math>{{\mu }_{T\prime }}=9.38</math> , <math>{{\sigma }_{T\prime }}=0.085</math>. The Interval Width is defined to be 1,000 miles. Enter the information about the usage distribution on the Suspensions page of the control panel, as shown next.

			[[Image:Specify Usage Distribution.png\|center\|250px\| ]]
	[[Image:Specify Usage Distribution.png~~\|thumb~~\|center\|250px\| ]]


	Click '''Calculate''' to analyze the data set. The parameters are estimated to be:		Click '''Calculate''' to analyze the data set. The parameters are estimated to be:
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	The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.		The reliability plot (with mileage being the random variable driving reliability), along with the 90% confidence bounds on reliability, is shown next.

			[[Image:Usage Example Reliability Plot.png\|center\|500px\| ]]
	[[Image:Usage Example Reliability Plot.png~~\|thumb~~\|center\|500px\| ]]


	In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).		In this example, the life data set contains 14 failures and 212 suspensions spread according to the defined usage distribution. You can display this data in a standard folio by choosing '''Warranty > Transfer Life Data > Transfer Life Data to New Folio'''. The failures and suspensions data set, as presented in the standard folio, is shown next (showing only the first 30 rows of data).

			[[Image:Usage Example Weibull Std Folio Data.png\|center\|500px\| ]]
	[[Image:Usage Example Weibull Std Folio Data.png~~\|thumb~~\|center\|500px\| ]]

Kate Racaza at 05:48, 26 July 2012

2012-07-26T05:48:27Z

← Older revision		Revision as of 05:48, 26 July 2012
Line 1:		Line 1:
	<noinclude>{{Banner Weibull Examples}}		<noinclude>{{Banner Weibull Examples}}
	''This example appears in the [[Warranty_Data_Analysis#~~Warranty_Analysis_.28Usage_Format.29~~\|Life Data Analysis Reference book]]''.		''This example appears in the [[Warranty_Data_Analysis#Usage_Format\|Life Data Analysis Reference book]]''.

← Older revision		Revision as of 17:06, 29 October 2015
Line 45:		Line 45:
	\| align="center" style="background:#f0f0f0;"\|'''Quantity Returned'''		\| align="center" style="background:#f0f0f0;"\|'''Quantity Returned'''
	\| align="center" style="background:#f0f0f0;"\|'''Usage at Return Date'''		\| align="center" style="background:#f0f0f0;"\|'''Usage at Return Date'''
	\| align="center" style="background:#f0f0f0;"\|'''~~Return~~ Date'''		\| align="center" style="background:#f0f0f0;"\|'''Date In-Service'''
	\|-		\|-
	\| 1\|\|9072\|\|Dec-09		\| 1\|\|9072\|\|Dec-09