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Anomaly detection of turbopump vibration in space shuttle main engine using statistics and neural networks
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Wu, Kewei Lo, Ching F. Whitehead, B. A. |
| Organization | The National Aeronautics and Space Administration (NASA) |
| Copyright Year | 1992 |
| Abstract | The statistical and neural network methods have been applied to investigate the feasibility in detecting anomalies in turbopump vibration of SSME. The anomalies are detected based on the amplitude of peaks of fundamental and harmonic frequencies in the power spectral density. These data are reduced to the proper format from sensor data measured by strain gauges and accelerometers. Both methods are feasible to detect the vibration anomalies. The statistical method requires sufficient data points to establish a reasonable statistical distribution data bank. This method is applicable for on-line operation. The neural network method also needs to have enough data to train the neural networks. The testing procedure can be utilized at any time so long as the characteristics of components remain unchanged. |
| File Size | 2013158 |
| File Format | |
| Alternate Webpage(s) | http://www.archive.org/details/nasa_techdoc_19960011102 |
| Archival Resource Key | ark:/13960/t3126rj81 |
| Language | English |
| Publisher Date | 1992-01-01 |
| Publisher Institution | NASA (non Center Specific) |
| Access Restriction | Open |
| Subject Keyword | Control Systems Design Systems Analysis Technology Assessment Errors International Space Station Large Space Structures Mir Space Station Orbital Mechanics Space Shuttles Spacecraft Docking Flight Tests In-flight Monitoring Performance Tests Postflight Analysis Space Shuttle Missions Space Transportation System Flights Spacecraft Control Stationkeeping Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
