Using the Power Law Model to Analyze Complex Repairable Systems
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Using the Power Law Model to Analyze Complex Repairable Systems |
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Fielded systems are systems that are used by customers in the field and for which failure information is not derived from an in-house test. This type of data is analogous to warranty data. The data types available for fielded systems data entry are:
Repairable Systems data is identical in format to the Multiple Systems (Concurrent Operating Times) data. It also can be entered in the normal or advanced view. Figure 3.19 illustrates a sample data set. In repairable systems, the purpose of the analysis is not to evaluate reliability growth but rather to obtain reliability estimates for the system, including expected number of failures, reliability at a given time, and so forth.
Figure 3.19: Repairable systems data |
The following models can be used to analyze repairable systems data. Models and examples using different data types are discussed in the Fielded Systems section of this on-line reference.
This data type is used to analyze the entire population (fleet). The data entry for this data type is similar to the data entry for repairable systems; however, the overall data analysis is again different. In repairable systems, the reliability of a single system can be tracked and quantified, whereas in a fleet analysis, data from the entire fleet as a whole is analyzed. Figure 3.20 presents an example of data entered for fleet analysis.
The following models can be used to analyze fleet data. Models and examples using different data types are discussed in later chapters.
Figure 3.20: Fleet systems data |
