Template:Time-to-failure data: Difference between revisions

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===Time-to-Failure Data===
#REDIRECT [[RGA_Data_Types]]
Time-to-failure (continuous) data is the most commonly observed type of reliability growth data. It involves recording the times-to-failure for the unit(s) under test. Time-to-failure data can be applied to a single unit or system or to multiple units or systems. There are multiple data entry schemes for this data type and each is presented next.
{{failure times data}}
 
 
{{grouped failure times}}
 
{{multiple systems (known operating times)}}
 
{{multiple systems (concurrent operating times)}}
 
{{multiple systems (concurrent operating times)-using dates}}
 
====Multiple Systems with Event Codes====
The Multiple Systems with Event Codes data type is used to analyze the failure data from a reliability growth test in which a number of systems are tested concurrently and the implemented fixes are tracked during the test phase. With this data type, all of the systems under test are assumed to have the same system hours at any given time. Figure Figdvancedultipleventodes shows an example of this type of data.
 
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[[Image:rga3.10.png|thumb|center|400px|Advanced view for Multiple Systems with Event Codes]]
 
====Models for Time-to-Failure (Continuous) Data====
The following models can be used to analyze time-to-failure (continuous) data sets. Models and examples using the different data types are discussed in later chapters.
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:1) Duane (Chapter 4)
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:2) Crow-AMSAA (NHPP) (Chapter 5)
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:3) Crow Extended (Chapter 9)
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:4) Crow Extended - Continuous Evaluation (Chapter 10)
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Latest revision as of 01:05, 24 August 2012

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