Template:Example: Weibull Disribution Unreliability RRX Example - Revision history

Chris Kahn: Redirected page to Weibull Distribution Unreliability RRX Example

2012-08-14T05:24:55Z

Redirected page to Weibull Distribution Unreliability RRX Example

← Older revision		Revision as of 05:24, 14 August 2012
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	#REDIRECT [[~~Weibull_Distribution_Examples#~~Weibull_Distribution_Unreliability_RRX_Example]]		#REDIRECT [[Weibull_Distribution_Unreliability_RRX_Example]]

Chris Kahn: Redirected page to Weibull Distribution Examples#Weibull Distribution Unreliability RRX Example

2012-08-14T04:48:16Z

Redirected page to Weibull Distribution Examples#Weibull Distribution Unreliability RRX Example

← Older revision		Revision as of 04:48, 14 August 2012
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	#REDIRECT [[~~Weibull Distribution Examples~~]]		#REDIRECT [[Weibull_Distribution_Examples#Weibull_Distribution_Unreliability_RRX_Example]]

Chris Kahn: Redirected page to Weibull Distribution Examples

2012-08-14T02:15:44Z

Redirected page to Weibull Distribution Examples

← Older revision		Revision as of 02:15, 14 August 2012
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	~~''' Weibull Disribution Unreliability RRX Example'''~~		#REDIRECT [[Weibull Distribution Examples]]

	Assume that six identical units are being tested. All the six failur times are: 93, 34, 16, 120, 53 and 75. What is the unreliability of the units for a mission duration of 30 hours, starting the mission at age zero? To replicate the results in this reference with Weibull++, choose RRX (Rank Regression on X) as the calculation method.

	~~'''Solution'''~~

	~~First, use Weibull++ to obtain the parameters using RRX.~~

	Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)

	[[~~Image: RS Draw.png\|center\|450px]]~~

	Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)

	~~The second method involves the use of the Quick Calculation Pad (QCP).~~

	~~Select '''Prob. of Failure''' calculation option and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.~~

	~~[[Image: QCP Result.png\|center\|550px~~]]

	~~Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.~~

Lisa Hacker at 09:30, 8 August 2012

2012-08-08T09:30:42Z

← Older revision		Revision as of 09:30, 8 August 2012
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	The second method involves the use of the Quick Calculation Pad (QCP).		The second method involves the use of the Quick Calculation Pad (QCP).

	~~[[Image: QCP icon.png\|center]]~~		Select '''Prob. of Failure''' calculation option and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	~~Once activated, the QCP will appear on your desktop.~~ Select '''Prob. of Failure''' ~~Calculations~~ and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	[[Image: QCP Result.png\|center\|550px]]		[[Image: QCP Result.png\|center\|550px]]

	Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.		Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.

Lisa Hacker at 09:30, 8 August 2012

2012-08-08T09:30:09Z

← Older revision		Revision as of 09:30, 8 August 2012
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	Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)		Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)

	The second method involves the use of the ~~'''~~Quick Calculation Pad (QCP)''.		The second method involves the use of the Quick Calculation Pad (QCP).

	[[Image: QCP icon.png\|center]]		[[Image: QCP icon.png\|center]]

Richard House at 05:30, 6 August 2012

2012-08-06T05:30:02Z

← Older revision		Revision as of 05:30, 6 August 2012
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	Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)		Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)

	[[Image: RS Draw.png~~\|thumb~~\|center\|450px]]		[[Image: RS Draw.png\|center\|450px]]

	Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)		Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)
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	Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.		Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	[[Image: QCP Result.png~~\|thumb~~\|center\|~~450px~~]]		[[Image: QCP Result.png\|center\|550px]]

	Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.		Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.

Richard House at 05:11, 6 August 2012

2012-08-06T05:11:51Z

← Older revision		Revision as of 05:11, 6 August 2012
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	Assume that six identical units are being tested. All the six failur times are: 93, 34, 16, 120, 53 and 75. What is the unreliability of the units for a mission duration of 30 hours, starting the mission at age zero? To replicate the results in this reference with Weibull++, choose RRX (Rank Regression on X) as the calculation method.		Assume that six identical units are being tested. All the six failur times are: 93, 34, 16, 120, 53 and 75. What is the unreliability of the units for a mission duration of 30 hours, starting the mission at age zero? To replicate the results in this reference with Weibull++, choose RRX (Rank Regression on X) as the calculation method.


	'''Solution'''		'''Solution'''
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	Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)		Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)

	[[Image: RS Draw.png\|thumb\|center\|~~250px~~]]		[[Image: RS Draw.png\|thumb\|center\|450px]]

	Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)		Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)
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	Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.		Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	[[Image: QCP Result.png\|thumb\|center\|~~300px~~]]		[[Image: QCP Result.png\|thumb\|center\|450px]]

	Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.		Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.

Nicolette Young at 18:28, 25 April 2012

2012-04-25T18:28:49Z

← Older revision		Revision as of 18:28, 25 April 2012
Line 16:		Line 16:
	The second method involves the use of the '''Quick Calculation Pad (QCP)''.		The second method involves the use of the '''Quick Calculation Pad (QCP)''.

	[[Image: QCP icon.png~~\|thumb~~\|center~~\|250px~~]]		[[Image: QCP icon.png\|center]]

	Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.		Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

Nicolette Young at 18:28, 25 April 2012

2012-04-25T18:28:31Z

← Older revision		Revision as of 18:28, 25 April 2012
Line 10:		Line 10:
	Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)		Then, we investigate several methods of solution for this problem. The first, and more laborious, method is to extract the information directly from the plot. You may do this with either the screen plot in RS Draw or the printed copy of the plot. (When extracting information from the screen plot in '''RS Draw''', note that the translated axis position of your mouse is always shown on the bottom right corner.)

	[[Image: RS Draw.png\|thumb\|center\|~~400px~~]]		[[Image: RS Draw.png\|thumb\|center\|250px]]

	Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)		Using this first method, enter either the screen plot or the printed plot with T = 30 hours, go up vertically to the straight line fitted to the data, then go horizontally to the ordinate, and read off . Then, a good estimate of the sought unreliability is 23%. (Also, the reliability estimate is 1.0 - 0.23 = 0.77 or 77%.)
Line 16:		Line 16:
	The second method involves the use of the '''Quick Calculation Pad (QCP)''.		The second method involves the use of the '''Quick Calculation Pad (QCP)''.

	[[Image: QCP icon.png\|thumb\|center\|~~400px~~]]		[[Image: QCP icon.png\|thumb\|center\|250px]]

	Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.		Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	[[Image: QCP Result.png\|thumb\|center\|~~400px~~]]		[[Image: QCP Result.png\|thumb\|center\|300px]]

	Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.		Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.

Harry Guo at 22:16, 29 February 2012

2012-02-29T22:16:35Z

← Older revision		Revision as of 22:16, 29 February 2012
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	[[Image: QCP icon.png\|thumb\|center\|400px]]		[[Image: QCP icon.png\|thumb\|center\|400px]]

	Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click Calculate to get the result.		Once activated, the QCP will appear on your desktop. Select '''Prob. of Failure''' Calculations and enter 30 hours in the Mission End Time box. Click '''Calculate''' to get the result.

	[[Image: QCP Result.png\|thumb\|center\|400px]]		[[Image: QCP Result.png\|thumb\|center\|400px]]

	Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.		Note that the results in QCP vary according to the parameter estimation method used. The above results are obtained using RRX.