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==Developmental Testing Data Types==
#REDIRECT [[RGA Data Types]]
{{time-to-failure data}}
 
===Discrete Data===
Discrete data is also referred to as success/failure or attribute data. It involves recording data from a test for a unit when there are only two possible outcomes: success or failure. An example of this is a missile that gets fired once and it either succeeds or fails. The data types available for analyzing discrete data with the RGA software are:
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• Sequential
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• Sequential with Mode
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• Grouped per Configuration
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• Mixed Data
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====Sequential Data====
For Sequential data, an item is tested with only two possible outcomes: success or failure. This could be a one-shot item such as a missile or an entire system that either succeeds or fails. The item is then inspected after each trial and redesigned/repaired before the next trial. Figure Sequential shows an example of this data type, where the row number in the data sheet represents the sequence of the trials. In this data set, trial #1 succeeded, trial #2 failed, and so on.
====Sequential with Mode Data====
Often after failure analysis you know the reason for failure during a particular trial. If this is the case, the reason for each failure can also be used in the analysis. This data entry is identical to the Sequential data with the exception that a failure code, mode or ID is added after each failure so that the analysis can take into account different failure modes. Figure SequentialMode shows an example of this type of data.
====Grouped per Configuration Data====
This data type is used when multiple items, instead of a single item, are tested and the number of units that fail are recorded for each configuration. The row numbers that appear on the left side of the Data Entry Spreadsheet, shown in Figure GroupConfig, represent the unique configurations. For example, row 1 indicates configuration 1 in which 10 missiles were fired and 5 failed, row 2 indicates configuration 2 in which 8 missiles were fired and 3 failed, etc. The data can be cumulative or non-cumulative.
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[[Image:rga3.11.png|thumb|center|400px|Sequential data]]
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[[Image:rga3.12.png|thumb|center|400px|Sequential with Mode data]]
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[[Image:rga3.13.png|thumb|center|400px|Grouped per Configuration data]]
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====Mixed Data====
The mixed data type can have input data that is either configuration in groups or individual trial by trial, or a mixed combination of individual trials and configurations of more than one trial. Figure Mixed data shows an example of this data type. For example the first row of this data sheet shows that three failures occurred in the first four trials, the second row shows that there was no failure in the next trial while the third row shows that three failures occured in the next four trials
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[[Image:rga3.14.png|thumb|center|400px|Mixed data]]
 
====Models for Discrete Data====
The following models can be used to analyze discrete data. 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) Lloyd-Lipow (Chapter 6)
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5) Gompertz and Modified Gompertz (Chapter 7)
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6) Logistic (Chapter 8)
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===Multi-Phase Data===
Reliability data can be analyzed across multiple phases. This is useful when an overall reliability growth program is planned and involves multiple test phases.
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====(Multi-Phase) Failure Times Data====
This data type can be used for tests that span multiple phases and the exact failure times are recorded. Figure CECETF shows an example of multi-phase failure times data, where the different events signify failures (F), test phases (PH) or analysis points (AP).
 
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[[Image:rga3.15.png|thumb|center|400px|Multi-phase failure times data]]
 
====(Multi-Phase) Grouped Failure Times Data====
This data type can be used for tests that span multiple phases and the exact failure times are unknown. Only the number of failures within a time interval are recorded, as shown in Figure CECErouped.
 
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[[Image:rga3.16.png|thumb|center|400px|Multi-phase grouped failure times data]]
 
====(Multi-Phase) Mixed Data====
 
This data type can be used for tests that span multiple phases and it allows for configuration in groups, individual trial by trial, or a mixed combination of individual trials and configurations of more than one trial. An example of this data type can be seen in Figure Multi-phase mixed data.
 
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[[Image:rga3.17.png|thumb|center|400px|Multi-phase mixed data]]
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====Models for Multi-Phase Data====
The Crow Extended - Continuous Evaluation model is used to analyze data across multiple phases and is presented in Chapter 10.
 
===Reliability Data===
Reliability data consists of entering the reliability of the equipment at different times or stages. An example is shown in Figure Reliability. In this case, the process is monitored at pre-defined time intervals and the reliability is recorded. The reliability can be computed by a simple ratio of the number of units still functioning vs. the number of units that entered the test stage or by using Life Data Analysis and related methods (e.g. Weibull analysis).
 
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[[Image:rga3.18.png|thumb|center|400px|Reliability data.]]
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====Models for Reliability Data====
The following models can be used to analyze reliability data sets. Models and examples using different data types are discussed in later chapters.
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1) Lloyd-Lipow (Chapter 6)
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2) Gompertz and Modified Gompertz (Chapter 7)
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3) Logistic (Chapter 8)
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Latest revision as of 07:21, 23 August 2012

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