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Real-time antenna fault diagnosis experiments at dss 13
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Smyth, P. Pierson, C. Mellstrom, J. |
| Copyright Year | 1992 |
| Description | Experimental results obtained when a previously described fault diagnosis system was run online in real time at the 34-m beam waveguide antenna at Deep Space Station (DSS) 13 are described. Experimental conditions and the quality of results are described. A neural network model and a maximum-likelihood Gaussian classifier are compared with and without a Markov component to model temporal context. At the rate of a state update every 6.4 seconds, over a period of roughly 1 hour, the neural-Markov system had zero errors (incorrect state estimates) while monitoring both faulty and normal operations. The overall results indicate that the neural-Markov combination is the most accurate model and has significant practical potential. |
| File Size | 631059 |
| Page Count | 13 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920015067 |
| Archival Resource Key | ark:/13960/t7rn82s46 |
| Language | English |
| Publisher Date | 1992-02-15 |
| Access Restriction | Open |
| Subject Keyword | Communications And Radar Classifiers Error Analysis Neural Nets Deep Space Failure Analysis Waveguide Antennas Beam Waveguides On-line Systems Maximum Likelihood Estimates Ground Stations Estimates Real Time Operation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
