Operational Mission Profile Testing - Revision history

Kate Racaza: /* Example - Mission Profile Testing */

2015-12-01T18:25:26Z

Example - Mission Profile Testing

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	[[Image:rga12.10.png\|center\|450px]]		[[Image:rga12.10.png\|center\|450px]]

			<div class="noprint">
	{{Examples Box\|RGA Examples\|<p>More mission profile examples are available! See also:</p>		{{Examples Box\|RGA Examples\|<p>More mission profile examples are available! See also:</p>
	{{Examples Link External\|http://www.reliasoft.com/rga/examples/rgex7/index.htm\|Mission Profile Testing}}<nowiki/>		{{Examples Link External\|http://www.reliasoft.com/rga/examples/rgex7/index.htm\|Mission Profile Testing}}<nowiki/>
	}}		}}
			</div>

Chris Kahn at 16:22, 12 June 2014

2014-06-12T16:22:10Z

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	{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"		{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
	\|-		\|-
	\|colspan="2" style="text-align:center"\|'''Effectiveness Factors for ~~delayed fixes~~'''		\|colspan="2" style="text-align:center"\|'''Effectiveness Factors for Delayed Fixes'''
	\|-		\|-
	!Mode		!Mode

Chris Kahn: /* Example - Mission Profile Testing */

2014-06-12T16:21:17Z

Example - Mission Profile Testing

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	{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"		{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
	\|-		\|-
	\|colspan="9" style="text-align:center"\|'''Grouped ~~data~~ at ~~convergence points~~ 100, 250, 320 and 400 ~~hours~~'''		\|colspan="9" style="text-align:center"\|'''Grouped Data at Convergence Points 100, 250, 320 and 400 Hours'''
	\|-		\|-
	!Number at Event		!Number at Event

Chris Kahn: /* Example - Mission Profile Testing */

2014-06-12T16:20:30Z

Example - Mission Profile Testing

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	{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"		{\|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"

	\|colspan="7" style="text-align:center"\|'''Expected and ~~actual results~~ for ~~profiles~~ 1, 2, 3'''		\|colspan="7" style="text-align:center"\|'''Expected and Actual Results for Profiles 1, 2, 3'''
	\|-		\|-
	\| \|\|colspan="2" style="text-align: center;" \| Profile 1(gun firings)\|\| colspan="2" style="text-align: center;" \| Profile 2(E1)\|\| colspan="2" style="text-align: center;" \| Profile 3(E2)		\| \|\|colspan="2" style="text-align: center;" \| Profile 1(gun firings)\|\| colspan="2" style="text-align: center;" \| Profile 2(E1)\|\| colspan="2" style="text-align: center;" \| Profile 3(E2)

David J. Groebel at 19:45, 2 June 2014

2014-06-02T19:45:37Z

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	Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.		Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.

	[[Image:rga12.7.png\|center\|~~6000px~~]]		[[Image:rga12.7.png\|center\|600px]]

	A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:		A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:

	[[Image:rga12.9.png\|center\|~~6000px~~]]		[[Image:rga12.9.png\|center\|600px]]

	The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.		The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.

David J. Groebel at 19:45, 2 June 2014

2014-06-02T19:45:18Z

← Older revision		Revision as of 19:45, 2 June 2014
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	Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.		Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.

	[[Image:rga12.7.png\|center\|~~450px~~]]		[[Image:rga12.7.png\|center\|6000px]]

	A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:		A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:

	[[Image:rga12.9.png\|center\|~~450px~~]]		[[Image:rga12.9.png\|center\|6000px]]

	The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.		The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.

David J. Groebel at 19:44, 2 June 2014

2014-06-02T19:44:39Z

← Older revision		Revision as of 19:44, 2 June 2014
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	==Example - Mission Profile Testing==		==Example - Mission Profile Testing==
	Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#Example_-_Test-Fix-Find-Test_Data\|Crow ~~extended~~ model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:		Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#Example_-_Test-Fix-Find-Test_Data\|Crow Extended model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:

	* Task 1 = firing a gun.		* Task 1 = firing a gun.

David J. Groebel at 19:42, 2 June 2014

2014-06-02T19:42:11Z

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	The next figure shows a portion of the expected and actual results for mission profile 1, as entered in the RGA software.		The next figure shows a portion of the expected and actual results for mission profile 1, as entered in the RGA software.

	[[Image:rga12.1.png~~\|thumb~~\|center\|450px~~\|Entering expected and actual results for profile 1 in the RGA software.~~]]		[[Image:rga12.1.png\|center\|450px]]

	A graph exists for each of the three tasks in this example. Each graph has a line with the expected average as a function of hours, and the corresponding actual value. When the actual value for a task meets the expected value then it is a convergence for that task. A convergence point occurs when all of the tasks converge at the same time. At least three convergence points are required, one of which is the stopping point <math>T\,\!</math>. In our example, the total test time is 400 hours. The convergence points were chosen to be at 100, 250, 320 and 400 hours. The next figure shows the data sheet that contains the convergence points in the RGA software.		A graph exists for each of the three tasks in this example. Each graph has a line with the expected average as a function of hours, and the corresponding actual value. When the actual value for a task meets the expected value then it is a convergence for that task. A convergence point occurs when all of the tasks converge at the same time. At least three convergence points are required, one of which is the stopping point <math>T\,\!</math>. In our example, the total test time is 400 hours. The convergence points were chosen to be at 100, 250, 320 and 400 hours. The next figure shows the data sheet that contains the convergence points in the RGA software.

	[[Image:rga12.2.png~~\|thumb~~\|center\|450px~~\|Specifying convergence points in the RGA software.~~]]		[[Image:rga12.2.png\|center\|450px]]

	The testing profiles are managed so that at these times the actual operational test profile equals the expected values for the three tasks or falls within an acceptable range. The next graph shows the expected and actual gun firings.		The testing profiles are managed so that at these times the actual operational test profile equals the expected values for the three tasks or falls within an acceptable range. The next graph shows the expected and actual gun firings.

	[[Image:rga12.3.png~~\|thumb~~\|center\|~~400px\|Operational mission profile for gun firings.~~]]		[[Image:rga12.3.png\|center\|450px]]

	While the next two graphs show the expected and actual time in environments E1 and E2, respectively.		While the next two graphs show the expected and actual time in environments E1 and E2, respectively.

	[[Image:rga12.4.png~~\|thumb~~\|center\|~~400px\|Operational mission profile for time in environment E1.~~]]		[[Image:rga12.4.png\|center\|450px]]

	[[Image:rga12.5.png~~\|thumb~~\|center\|~~400px\|Operational mission profile for time in environment E2.~~]]		[[Image:rga12.5.png\|center\|450px]]

	The objective of having the convergence points is to be able to apply the Crow extended model directly in such a way that the projection and other key reliability growth parameters can be estimated in a valid fashion. To do this, grouped data is applied using the Crow extended model. For reliability growth assessments using grouped data, only the information between time points in the testing is used. In our application, these time points are the convergence points 100, 250, 320, and 400. The next figure shows all three mission profiles plotted in the same graph, together with the convergence points.		The objective of having the convergence points is to be able to apply the Crow extended model directly in such a way that the projection and other key reliability growth parameters can be estimated in a valid fashion. To do this, grouped data is applied using the Crow extended model. For reliability growth assessments using grouped data, only the information between time points in the testing is used. In our application, these time points are the convergence points 100, 250, 320, and 400. The next figure shows all three mission profiles plotted in the same graph, together with the convergence points.

	[[Image:rga12.6.png~~\|thumb~~\|center\|~~400px\|Combined mission profile graph with convergence points.~~]]		[[Image:rga12.6.png\|center\|450px]]


	The following table gives the grouped data input corresponding to the original data set.		The following table gives the grouped data input corresponding to the original data set.

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	Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.		Using the failure times data sheet shown next, we can analyze this data set based on a specified mission profile. This will group the failure times data into groups based on the convergence points that have already been specified when constructing the mission profile.

	[[Image:rga12.7.png~~\|thumb~~\|center\|~~400px\|Failure times data.~~]]		[[Image:rga12.7.png\|center\|450px]]

	A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:		A new data sheet with the grouped data is created, as shown in the figure below and the calculated results based on the grouped data are as follows:

	[[Image:rga12.9.png~~\|thumb~~\|center\|~~400px\|Grouped data set prepared based on the mission profile convergence points.~~]]		[[Image:rga12.9.png\|center\|450px]]

	The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.		The following plot shows the instantaneous, demonstrated, projected and growth potential MTBF for the grouped data, based the mission profile grouping with intervals at the specified convergence points of the mission profile.

	[[Image:rga12.10.png~~\|thumb~~\|center\|~~400px\|Instantaneous, demonstrated, projected and growth potential MTBF for grouped data.~~]]		[[Image:rga12.10.png\|center\|450px]]

	{{Examples Box\|RGA Examples\|<p>More mission profile examples are available! See also:</p>		{{Examples Box\|RGA Examples\|<p>More mission profile examples are available! See also:</p>
	{{Examples Link External\|http://www.reliasoft.com/rga/examples/rgex7/index.htm\|Mission Profile Testing}}<nowiki/>		{{Examples Link External\|http://www.reliasoft.com/rga/examples/rgex7/index.htm\|Mission Profile Testing}}<nowiki/>
	}}		}}

David J. Groebel: /* Example */

2014-04-24T19:31:54Z

Example

← Older revision		Revision as of 19:31, 24 April 2014
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	The objective of having the convergence points is to be able to apply the Crow extended model directly in such a way that the projection and other key reliability growth parameters can be estimated in a valid fashion. To do this, the grouped data methodology is applied. Note that the methodology can also be used with the Crow-AMSAA (NHPP) model for a simpler analysis without the ability to estimate projected and growth potential reliability. See the [[Crow-AMSAA (NHPP)#Grouped_Data\|Grouped Data for the Crow-AMSAA (NHPP) model]] or for the [[Crow_Extended#Grouped_Data\|Crow extended model]].		The objective of having the convergence points is to be able to apply the Crow extended model directly in such a way that the projection and other key reliability growth parameters can be estimated in a valid fashion. To do this, the grouped data methodology is applied. Note that the methodology can also be used with the Crow-AMSAA (NHPP) model for a simpler analysis without the ability to estimate projected and growth potential reliability. See the [[Crow-AMSAA (NHPP)#Grouped_Data\|Grouped Data for the Crow-AMSAA (NHPP) model]] or for the [[Crow_Extended#Grouped_Data\|Crow extended model]].

	==Example==		==Example - Mission Profile Testing==
	Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#Example_-_Test-Fix-Find-Test_Data\|Crow extended model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:		Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#Example_-_Test-Fix-Find-Test_Data\|Crow extended model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:

David J. Groebel at 19:29, 24 April 2014

2014-04-24T19:29:55Z

← Older revision		Revision as of 19:29, 24 April 2014
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	==Example==		==Example==
	Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#~~Example:~~_Test-Fix-Find-Test_Data\|Crow extended model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:		Consider the test-fix-find-test data set that was introduced in the [[Crow_Extended#Example_-_Test-Fix-Find-Test_Data\|Crow extended model chapter]] and is shown again in the table below. The total test time for this test is 400 hours. Note that for this example we assume one stopping point at the end of the test for the incorporation of the delayed fixes. Also, suppose that the data set represents a military system with:

	* Task 1 = firing a gun.		* Task 1 = firing a gun.