|
|
(4 intermediate revisions by 2 users not shown) |
Line 1: |
Line 1: |
| ===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}}
| |
| | |
| ====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.
| |
| <br>
| |
| :1) Duane (Chapter 4)
| |
| <br>
| |
| :2) Crow-AMSAA (NHPP) (Chapter 5)
| |
| <br>
| |
| :3) Crow Extended (Chapter 9)
| |
| <br>
| |
| :4) Crow Extended - Continuous Evaluation (Chapter 10)
| |
| <br>
| |