NASA-LLIS-0840
Lessons Learned – Mean Time To Repair Predictions
Year: 2000
Abstract: Practice:
Predict the mean time to repair (MTTR) of avionics and ground electronics systems at any level of maintenance (on orbit, intermediate or depot level) using analytical methods . This technique assumes a constant failure rate, and should be used accordingly.
Predict the mean time to repair (MTTR) of avionics and ground electronics systems at any level of maintenance (on orbit, intermediate or depot level) using analytical methods . This technique assumes a constant failure rate, and should be used accordingly.
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| contributor author | NASA - National Aeronautics and Space Administration (NASA) | |
| date accessioned | 2017-09-04T15:41:14Z | |
| date available | 2017-09-04T15:41:14Z | |
| date copyright | 04/20/2000 | |
| date issued | 2000 | |
| identifier other | PGDEQCAAAAAAAAAA.pdf | |
| identifier uri | https://yse.yabesh.ir/std/handle/yse/43481 | |
| description abstract | Practice: Predict the mean time to repair (MTTR) of avionics and ground electronics systems at any level of maintenance (on orbit, intermediate or depot level) using analytical methods . This technique assumes a constant failure rate, and should be used accordingly. | |
| language | English | |
| title | NASA-LLIS-0840 | num |
| title | Lessons Learned – Mean Time To Repair Predictions | en |
| type | standard | |
| page | 9 | |
| status | Active | |
| tree | NASA - National Aeronautics and Space Administration (NASA):;2000 | |
| contenttype | fulltext |

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