Standard Folio Plots - Revision history

Richard House at 07:50, 7 August 2012

2012-08-07T07:50:27Z

Richard House at 07:13, 6 August 2012

2012-08-06T07:13:03Z

← Older revision		Revision as of 07:13, 6 August 2012
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	Analyze the data using the 2P-Weibull distribution and the MLE analysis method. The results are shown next.		Analyze the data using the 2P-Weibull distribution and the MLE analysis method. The results are shown next.

	[[image: Plot Type Data and Results.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Data and Results.png\|center\|500px]]


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	'''1. Probability Plot'''		'''1. Probability Plot'''

	[[image: Plot Type Probability Plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Probability Plot.png\|center\|500px]]


	You can choose to display the confidence bounds on time, reliability, or both. To do this, click the '''Confidence Bounds…''' link on the control panel. The following picture shows the Confidence Bounds Setup window.		You can choose to display the confidence bounds on time, reliability, or both. To do this, click the '''Confidence Bounds…''' link on the control panel. The following picture shows the Confidence Bounds Setup window.

	[[image: Plot Type confidence bound Set up.png~~\|thumb~~\|center\|400px]]		[[image: Plot Type confidence bound Set up.png\|center\|400px]]

	The following example shows the two-sided confidence bounds on the reliability.		The following example shows the two-sided confidence bounds on the reliability.
	[[image: Plot Type Reliability confidence bound.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Reliability confidence bound.png\|center\|500px]]

	The points on the probability plot represent the observed probability of failure, while the straight line represents the predicted probability of failure. If the line fits the points well, it indicates that the distribution in use is suitable for the data set.		The points on the probability plot represent the observed probability of failure, while the straight line represents the predicted probability of failure. If the line fits the points well, it indicates that the distribution in use is suitable for the data set.
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	To view all the available plots for the Weibull++ standard folio, click the '''Plot Type''' drop down list on the control panel, as shown next.		To view all the available plots for the Weibull++ standard folio, click the '''Plot Type''' drop down list on the control panel, as shown next.

	[[image: Plot Type plot type list.png~~\|thumb~~\|center\|~~400px~~]]		[[image: Plot Type plot type list.png\|center\|300px]]


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	'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.		'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.

	[[image: Plot Type Reliability plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Reliability plot.png\|center\|500px]]


	'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.		'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.

	[[image: Plot Type UnReliability plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type UnReliability plot.png\|center\|500px]]


	'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.		'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.

	[[image: Plot Type pdf plot.png.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type pdf plot.png.png\|center\|500px]]


	'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.		'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.

	[[image: Plot Type failure rate plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type failure rate plot.png\|center\|500px]]


	'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.		'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.

	[[image: Plot Type Contour plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Contour plot.png\|center\|500px]]


	'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.		'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.

	[[image: Plot Type histogram plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type histogram plot.png\|center\|500px]]


	'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.		'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.

	[[image: Plot Type Pie plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Pie plot.png\|center\|500px]]


	'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.		'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.

	[[image: Plot Type Time line plot.png~~\|thumb~~\|center\|500px]]		[[image: Plot Type Time line plot.png\|center\|500px]]

Richard House at 07:43, 3 August 2012

2012-08-03T07:43:10Z

Kate Racaza: moved Example: Standard Folio Plot Type to Standard Folio Plots: incorrect title

2012-07-23T03:52:37Z

moved Example: Standard Folio Plot Type to Standard Folio Plots: incorrect title

← Older revision	Revision as of 03:52, 23 July 2012
(No difference)

Kate Racaza: proofread

2012-07-23T03:37:43Z

proofread

← Older revision		Revision as of 03:37, 23 July 2012
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	{{Banner Weibull Examples}}		<noinclude>{{Banner Weibull Examples}}</noinclude>
	<br>
	Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.		Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.

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	Analyze the ~~above~~ data using ~~MLE,~~ 2P Weibull distribution~~, we have~~ the ~~following~~ results.		Analyze the data using the 2P-Weibull distribution and the MLE analysis method. The results are shown next.

	[[image: Plot Type Data and Results.png\|thumb\|center\|400px]]		[[image: Plot Type Data and Results.png\|thumb\|center\|400px]]


	Click on the ~~Plot button, Weibull++ automatically shows~~ the first plot probability plot.		Click the '''Plot''' icon on the control panel. This displays the first plot probability plot.


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	[[image: Plot Type Probability Plot.png\|thumb\|center\|400px]]		[[image: Plot Type Probability Plot.png\|thumb\|center\|400px]]

	You ~~also~~ can choose to display the confidence bounds on time, reliability, or both. ~~Click on~~ the '''Confidence Bounds…''' link.
			You can choose to display the confidence bounds on time, reliability, or both. To do this, click the '''Confidence Bounds…''' link on the control panel. The following picture shows the Confidence Bounds Setup window.

	[[image: Plot Type confidence bound Set up.png\|thumb\|center\|400px]]		[[image: Plot Type confidence bound Set up.png\|thumb\|center\|400px]]

	~~Then click~~ on ~~'''OK''',~~		The following example shows the two-sided confidence bounds on the reliability.

	[[image: Plot Type Reliability confidence bound.png\|thumb\|center\|400px]]		[[image: Plot Type Reliability confidence bound.png\|thumb\|center\|400px]]

	~~Probability~~ plot ~~shows~~ the ~~predicted (~~the line~~) and observed~~ probability of failure ~~(the dots, calculated from non-parametric LDA)~~. If the ~~straight~~ line ~~can fit~~ the ~~dots~~ well, it ~~means~~ the distribution in use is suitable for ~~this~~ data set.		The points on the probability plot represent the observed probability of failure, while the straight line represents the predicted probability of failure. If the line fits the points well, it indicates that the distribution in use is suitable for the data set.

	~~Click on~~ the '''Plot Type''' drop down list ~~to view all~~ the ~~available plots~~.		To view all the available plots for the Weibull++ standard folio, click the '''Plot Type''' drop down list on the control panel, as shown next.

	[[image: Plot Type plot type list.png\|thumb\|center\|400px]]		[[image: Plot Type plot type list.png\|thumb\|center\|400px]]

	~~We will explain each plot type in below.~~

			All the available plot types are explained next.

	'''2. Reliability vs. Time Plot.'''
			'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.

	[[image: Plot Type Reliability plot.png\|thumb\|center\|400px]]		[[image: Plot Type Reliability plot.png\|thumb\|center\|400px]]

	~~It shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.~~

			'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.

	~~'''3. Unreliability vs. Time Plot.'''~~
	[[image: Plot Type UnReliability plot.png\|thumb\|center\|400px]]		[[image: Plot Type UnReliability plot.png\|thumb\|center\|400px]]

	~~It shows how Unreliability (Probability of Failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.~~

			'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.
	'''4. ~~pdf~~ Plot'''

	[[image: Plot Type pdf plot.png.png\|thumb\|center\|400px]]		[[image: Plot Type pdf plot.png.png\|thumb\|center\|400px]]

	pdf (probability density function) plot shows how the failure data distributed at different time range, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.

			'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.
	'''5. Failure Rate vs. Time Plot'''

	[[image: Plot Type failure rate plot.png\|thumb\|center\|400px]]		[[image: Plot Type failure rate plot.png\|thumb\|center\|400px]]

	~~Failure rate plot shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.~~


	'''6. Contour Plot'''		'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.

	[[image: Plot Type Contour plot.png\|thumb\|center\|400px]]		[[image: Plot Type Contour plot.png\|thumb\|center\|400px]]

	~~Contour plot shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.~~

			'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.

	~~'''7. Histogram'''~~
	[[image: Plot Type histogram plot.png\|thumb\|center\|400px]]		[[image: Plot Type histogram plot.png\|thumb\|center\|400px]]


	~~Histogram shows~~ the ~~number~~ of failures/suspensions ~~at a given time interval. Users can~~ set ~~the time interval at the control panel. The Y value is the number of observations; the X value is the time range of when the observations occurred~~.		'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.


	~~'''8. F/S Pie Chart'''~~
	[[image: Plot Type Pie plot.png\|thumb\|center\|400px]]		[[image: Plot Type Pie plot.png\|thumb\|center\|400px]]

	~~F/S Pie visually displays the percentage of failures and suspensions in the data set.~~

			'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.

	~~'''9. F/S Timeline'''~~
	[[image: Plot Type Time line plot.png\|thumb\|center\|400px]]		[[image: Plot Type Time line plot.png\|thumb\|center\|400px]]

	~~F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.~~

Lisa Hacker at 12:03, 17 July 2012

2012-07-17T12:03:37Z

← Older revision		Revision as of 12:03, 17 July 2012
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	F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.		F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.

	~~[[Category:Weibull++ Examples]]~~

Lisa Hacker at 11:44, 17 July 2012

2012-07-17T11:44:09Z

← Older revision		Revision as of 11:44, 17 July 2012
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	{~~\| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;"~~		{{Banner Weibull Examples}}
	\|-
	~~\| valign="middle" align="left" bgcolor=EEEDF7\|[[Image:~~Weibull-Examples~~-banner.png\|400px\|center]]~~
	\|}
	<br>		<br>
	Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.		Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.
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	F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.		F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.

			[[Category:Weibull++ Examples]]

Chris Kahn at 00:02, 4 May 2012

2012-05-04T00:02:59Z

← Older revision		Revision as of 00:02, 4 May 2012
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	'''5. Failure Rate Vs. Time Plot'''		'''5. Failure Rate vs. Time Plot'''

	[[image: Plot Type failure rate plot.png\|thumb\|center\|400px]]		[[image: Plot Type failure rate plot.png\|thumb\|center\|400px]]

Chris Kahn at 23:52, 3 May 2012

2012-05-03T23:52:06Z

← Older revision		Revision as of 23:52, 3 May 2012
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	'''3. ~~UnReliability~~ vs. Time Plot.'''		'''3. Unreliability vs. Time Plot.'''
	[[image: Plot Type UnReliability plot.png\|thumb\|center\|400px]]		[[image: Plot Type UnReliability plot.png\|thumb\|center\|400px]]

Chuck Smith: Created page with '{| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;" |- | valign="middle" align="left" bgcolor=EEEDF7|[[Image:Weibull-E…'

2012-03-22T00:11:16Z

Created page with '{| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;" |- | valign="middle" align="left" bgcolor=EEEDF7|[[Image:Weibull-E…'

New page

{| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;"
|-
| valign="middle" align="left" bgcolor=EEEDF7|[[Image:Weibull-Examples-banner.png|400px|center]]
|}
<br>
Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.

{| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
| align="center" style="background:#f0f0f0;"|'''Number in State'''
| align="center" style="background:#f0f0f0;"|'''State F or S'''
| align="center" style="background:#f0f0f0;"|'''State End Time'''
|-
| 2||F||20
|-
| 3||F||45
|-
| 4||F||89
|-
| 2||F||100
|-
| 5||F||123
|-
| 15||S||150
|-
| 20||S||200

|}

Analyze the above data using MLE, 2P Weibull distribution, we have the following results.

[[image: Plot Type Data and Results.png|thumb|center|400px]]

Click on the Plot button, Weibull++ automatically shows the first plot probability plot.

'''1. Probability Plot'''

[[image: Plot Type Probability Plot.png|thumb|center|400px]]

You also can choose to display the confidence bounds on time, reliability, or both. Click on the '''Confidence Bounds…''' link.

[[image: Plot Type confidence bound Set up.png|thumb|center|400px]]

Then click on '''OK''',

[[image: Plot Type Reliability confidence bound.png|thumb|center|400px]]

Probability plot shows the predicted (the line) and observed probability of failure (the dots, calculated from non-parametric LDA). If the straight line can fit the dots well, it means the distribution in use is suitable for this data set.

Click on the '''Plot Type''' drop down list to view all the available plots.

[[image: Plot Type plot type list.png|thumb|center|400px]]

We will explain each plot type in below.

'''2. Reliability vs. Time Plot.'''

[[image: Plot Type Reliability plot.png|thumb|center|400px]]

It shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.

'''3. UnReliability vs. Time Plot.'''
[[image: Plot Type UnReliability plot.png|thumb|center|400px]]

It shows how Unreliability (Probability of Failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.

'''4. pdf Plot'''

[[image: Plot Type pdf plot.png.png|thumb|center|400px]]

pdf (probability density function) plot shows how the failure data distributed at different time range, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.

'''5. Failure Rate Vs. Time Plot'''

[[image: Plot Type failure rate plot.png|thumb|center|400px]]

Failure rate plot shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.

'''6. Contour Plot'''

[[image: Plot Type Contour plot.png|thumb|center|400px]]

Contour plot shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.

'''7. Histogram'''
[[image: Plot Type histogram plot.png|thumb|center|400px]]

Histogram shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations; the X value is the time range of when the observations occurred.

'''8. F/S Pie Chart'''
[[image: Plot Type Pie plot.png|thumb|center|400px]]

F/S Pie visually displays the percentage of failures and suspensions in the data set.

'''9. F/S Timeline'''
[[image: Plot Type Time line plot.png|thumb|center|400px]]

F/S Timeline plot graphically display the values for each failure and suspension. For example, from the above plot, you can see there are 6 failures between 60 and 120 hours.

← Older revision		Revision as of 07:50, 7 August 2012
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	Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.		Weibull++ provides many useful plots. We will use this example to illustrate them. Assume we have the following failure data.

	{\| \| border="1" ~~class~~="~~wikitable~~" style="~~margin~~: ~~1em auto 1em auto~~"		{\| \| border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
	\| align="center" style="background:#f0f0f0;"\|'''Number in State'''		\| align="center" style="background:#f0f0f0;"\|'''Number in State'''
	\| align="center" style="background:#f0f0f0;"\|'''State F or S'''		\| align="center" style="background:#f0f0f0;"\|'''State F or S'''
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	[[image: Plot Type Data and Results.png\|center\|500px]]		[[image: Plot Type Data and Results.png\|center\|500px]]


	Click the '''Plot''' icon on the control panel. This displays the first plot probability plot.		Click the '''Plot''' icon on the control panel. This displays the first plot probability plot.


	'''1. Probability Plot'''		'''1. Probability Plot'''

	[[image: Plot Type Probability Plot.png\|center\|500px]]		[[image: Plot Type Probability Plot.png\|center\|500px]]


	You can choose to display the confidence bounds on time, reliability, or both. To do this, click the '''Confidence Bounds…''' link on the control panel. The following picture shows the Confidence Bounds Setup window.		You can choose to display the confidence bounds on time, reliability, or both. To do this, click the '''Confidence Bounds…''' link on the control panel. The following picture shows the Confidence Bounds Setup window.
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	[[image: Plot Type plot type list.png\|center\|300px]]		[[image: Plot Type plot type list.png\|center\|300px]]


	All the available plot types are explained next.		All the available plot types are explained next.


	'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.		'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.

	[[image: Plot Type Reliability plot.png\|center\|500px]]		[[image: Plot Type Reliability plot.png\|center\|500px]]


	'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.		'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.

	[[image: Plot Type UnReliability plot.png\|center\|500px]]		[[image: Plot Type UnReliability plot.png\|center\|500px]]


	'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.		'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.

	[[image: Plot Type pdf plot.png.png\|center\|500px]]		[[image: Plot Type pdf plot.png.png\|center\|500px]]


	'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.		'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.

	[[image: Plot Type failure rate plot.png\|center\|500px]]		[[image: Plot Type failure rate plot.png\|center\|500px]]


	'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.		'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.

	[[image: Plot Type Contour plot.png\|center\|500px]]		[[image: Plot Type Contour plot.png\|center\|500px]]


	'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.		'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.

	[[image: Plot Type histogram plot.png\|center\|500px]]		[[image: Plot Type histogram plot.png\|center\|500px]]


	'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.		'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.

	[[image: Plot Type Pie plot.png\|center\|500px]]		[[image: Plot Type Pie plot.png\|center\|500px]]


	'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.		'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.

	[[image: Plot Type Time line plot.png\|center\|500px]]		[[image: Plot Type Time line plot.png\|center\|500px]]

← Older revision		Revision as of 07:43, 3 August 2012
Line 27:		Line 27:
	Analyze the data using the 2P-Weibull distribution and the MLE analysis method. The results are shown next.		Analyze the data using the 2P-Weibull distribution and the MLE analysis method. The results are shown next.

	[[image: Plot Type Data and Results.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Data and Results.png\|thumb\|center\|500px]]


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	'''1. Probability Plot'''		'''1. Probability Plot'''

	[[image: Plot Type Probability Plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Probability Plot.png\|thumb\|center\|500px]]


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	The following example shows the two-sided confidence bounds on the reliability.		The following example shows the two-sided confidence bounds on the reliability.
	[[image: Plot Type Reliability confidence bound.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Reliability confidence bound.png\|thumb\|center\|500px]]

	The points on the probability plot represent the observed probability of failure, while the straight line represents the predicted probability of failure. If the line fits the points well, it indicates that the distribution in use is suitable for the data set.		The points on the probability plot represent the observed probability of failure, while the straight line represents the predicted probability of failure. If the line fits the points well, it indicates that the distribution in use is suitable for the data set.
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	'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.		'''2. Reliability vs. Time Plot''' shows how reliability changes with time. Similar to the probability plot, it has both the predicted and the observed reliability values on the plot.

	[[image: Plot Type Reliability plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Reliability plot.png\|thumb\|center\|500px]]


	'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.		'''3. Unreliability vs. Time Plot''' shows how unreliability (probability of failure) changes with time. Similar to the probability plot, it has both the predicted and the observed values on the plot.

	[[image: Plot Type UnReliability plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type UnReliability plot.png\|thumb\|center\|500px]]


	'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.		'''4. PDF Plot''' (probability density function plot) shows how the failure data are distributed at different time ranges, if the failure data indeed follows the distribution in use. The range around the peak of the pdf curve is where most of the failures occur.

	[[image: Plot Type pdf plot.png.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type pdf plot.png.png\|thumb\|center\|500px]]


	'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.		'''5. Failure Rate vs. Time Plot''' shows how the failure rate (the frequency of having failures) changes with time. For this example, we can see it has an increasing failure rate.

	[[image: Plot Type failure rate plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type failure rate plot.png\|thumb\|center\|500px]]


	'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.		'''6. Contour Plot''' shows the jointed range of the estimated distribution parameters. With higher confidence level, the range will be larger.

	[[image: Plot Type Contour plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Contour plot.png\|thumb\|center\|500px]]


	'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.		'''7. Histogram''' shows the number of failures/suspensions at a given time interval. Users can set the time interval at the control panel. The Y value is the number of observations, while the X value is the time range of when the observations occurred.

	[[image: Plot Type histogram plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type histogram plot.png\|thumb\|center\|500px]]


	'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.		'''8. F/S Pie Chart''' visually displays the percentage of failures and suspensions in the data set.

	[[image: Plot Type Pie plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Pie plot.png\|thumb\|center\|500px]]


	'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.		'''9. F/S Timeline''' graphically displays the values for each failure and suspension. In the following example, there are 6 failures between 60 and 120 hours.

	[[image: Plot Type Time line plot.png\|thumb\|center\|~~400px~~]]		[[image: Plot Type Time line plot.png\|thumb\|center\|500px]]