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NASA-LLIS-0830
Lessons Learned – Rocket Engine Failure Prediction Using an Average Signal Power Technique
Year: 2000
Abstract: Practice:
Apply a univariate failure prediction algorithm using a signal processing technique to rocket engine test firing data to provide an early failure indication. The predictive maintenance technique involves tracking the variations in the average signal power over time.
Apply a univariate failure prediction algorithm using a signal processing technique to rocket engine test firing data to provide an early failure indication. The predictive maintenance technique involves tracking the variations in the average signal power over time.
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| contributor author | NASA - National Aeronautics and Space Administration (NASA) | |
| date accessioned | 2017-09-04T15:06:35Z | |
| date available | 2017-09-04T15:06:35Z | |
| date copyright | 04/19/2000 | |
| date issued | 2000 | |
| identifier other | LFDEQCAAAAAAAAAA.pdf | |
| identifier uri | https://yse.yabesh.ir/std/handle/yse/4096 | |
| description abstract | Practice: Apply a univariate failure prediction algorithm using a signal processing technique to rocket engine test firing data to provide an early failure indication. The predictive maintenance technique involves tracking the variations in the average signal power over time. | |
| language | English | |
| title | NASA-LLIS-0830 | num |
| title | Lessons Learned – Rocket Engine Failure Prediction Using an Average Signal Power Technique | en |
| type | standard | |
| page | 7 | |
| status | Active | |
| tree | NASA - National Aeronautics and Space Administration (NASA):;2000 | |
| contenttype | fulltext |