Template:Reliability test design - Revision history

Kate Racaza: Redirected page to Reliability Test Design

2012-06-29T08:02:41Z

Redirected page to Reliability Test Design

← Older revision		Revision as of 08:02, 29 June 2012
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	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		#REDIRECT [[Reliability Test Design]]

	~~{{demonstration test design}}~~

	~~{{constant failure rate/chi-squared test design}}~~

	~~{{bayesian test design}}~~

	~~{{expected failure time plots}}~~

	~~{{difference detection matrix}}~~

Lisa Hacker at 23:05, 29 March 2012

2012-03-29T23:05:20Z

← Older revision		Revision as of 23:05, 29 March 2012
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	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a ~~product's or~~ design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

	{{demonstration test design}}		{{demonstration test design}}

Chris Kahn at 00:21, 9 March 2012

2012-03-09T00:21:04Z

← Older revision		Revision as of 00:21, 9 March 2012
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	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product's or design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units ~~and~~ for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product's or design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

	{{demonstration test design}}		{{demonstration test design}}

Chris Kahn at 20:49, 8 March 2012

2012-03-08T20:49:05Z

← Older revision		Revision as of 20:49, 8 March 2012
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	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases ~~such as these~~, a test can be run on a specified number of units~~, or~~ for a specified amount of time, that will demonstrate that the ~~products have~~ met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product's or design's reliability, time and resource constraints sometimes make this impossible. In these cases, a test can be run on a specified number of units and for a specified amount of time that will demonstrate that the product has met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will, of course, remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

	{{demonstration test design}}		{{demonstration test design}}

Harry Guo at 18:06, 24 February 2012

2012-02-24T18:06:32Z

← Older revision		Revision as of 18:06, 24 February 2012
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	{{difference detection matrix}}		{{difference detection matrix}}

	~~{{Test Design Using SimuMatic}}~~

Harry Guo at 22:23, 22 February 2012

2012-02-22T22:23:18Z

← Older revision		Revision as of 22:23, 22 February 2012
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	{{constant failure rate/chi-squared test design}}		{{constant failure rate/chi-squared test design}}


	{{bayesian test design}}		{{bayesian test design}}

Harry Guo at 22:21, 22 February 2012

2012-02-22T22:21:58Z

← Older revision		Revision as of 22:21, 22 February 2012
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	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

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	{{difference detection matrix}}		{{difference detection matrix}}

			{{Test Design Using SimuMatic}}

Harry Guo: /* Reliability Test Design */

2012-02-08T16:40:59Z

Reliability Test Design

← Older revision		Revision as of 16:40, 8 February 2012
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	~~==Reliability Test Design==~~
	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

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	{{constant failure rate/chi-squared test design}}		{{constant failure rate/chi-squared test design}}


			{{bayesian test design}}

			{{expected failure time plots}}

			{{difference detection matrix}}

Harry Guo: /* Reliability Test Design */

2012-02-08T16:37:37Z

Reliability Test Design

← Older revision		Revision as of 16:37, 8 February 2012
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	==Reliability Test Design==		==Reliability Test Design==
	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.

	{{demonstration test design}}		{{demonstration test design}}

	{{constant failure rate/chi-squared test design}}		{{constant failure rate/chi-squared test design}}

Harry Guo: /* Test Design */

2012-02-08T16:32:46Z

Test Design

← Older revision		Revision as of 16:32, 8 February 2012
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	==Test Design==		==Reliability Test Design==
	Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.		Quite often, there is a desire to design reliability demonstration tests that have few or no failures. These tests are often required to demonstrate customer reliability and confidence requirements. While it is desirable to be able to test a large population of units to failure in order to obtain information on a product or design's reliability, time and resource constraints sometimes make this impossible. In cases such as these, a test can be run on a specified number of units, or for a specified amount of time, that will demonstrate that the products have met or exceeded a given reliability at a given confidence level. In order to do so without a large amount of cumulative test time or failure data, it is necessary to make assumptions about the failure distribution of the product. In the final analysis, the actual reliability of the units will of course remain unknown, but the reliability engineer will be able to state that certain specifications have been met.
	{{demonstration test design}}		{{demonstration test design}}

	{{constant failure rate/chi-squared test design}}		{{constant failure rate/chi-squared test design}}