Fielded Systems

This chapter includes the following sections:

• Repairable Systems
• Using the Power Law Model to Analyze Complex Repairable Systems
• Parameter Estimation for Repairable Systems
• Goodness-of-Fit Tests for Repairable Systems
• Confidence Bounds for Repairable Systems
• Confidence Bounds Examples for Repairable Systems
• Economical Life Model for Repairable Systems
• Fleet Analysis
• Applying the Crow Extended Model to Fleet Data
• Confidence Bounds for Fleet Systems
• General Examples Using Fielded Systems

The previous chapters presented analysis methods for data obtained during developmental testing. However, data from systems in the field can also be analyzed in RGA. This type of data is called fielded systems data and is analogous to warranty data. Fielded systems can be categorized into two basic types: one-time or nonrepairable systems and reusable or repairable systems. In the latter case, under continuous operation, the system is repaired, but not replaced after each failure. For example, if a water pump in a vehicle fails, the water pump is replaced and the vehicle is repaired.

Two types of analysis are presented in this chapter. The first is repairable systems analysis where the reliability of a system can be tracked and quantified based on data from multiple systems in the field. The second is fleet analysis where data from multiple systems in the field can be collected and analyzed so that reliability metrics for the fleet as a whole can be quantified. [ Note]

 

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