Name
Abstract | ||
|---|---|---|
The paper presents intelligent telemetry data analysis software module and methods of onboard equipment of small satellites. The suggested software module consists of feature selection, data preprocessing, clustering and predicting software components. The software components are based on the genetic algorithm based feature selection method, dynamic streaming clustering method, neural Kohonen self-organizing map and image processing based clustering and predicting methods for telemetry data of onboard equipment of small satellites. The computational experiments and testing of developed methods and software tools were performed on the processed telemetry data from the navigation device of onboard equipment of a small satellite and showed enough high efficiency and good results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-57264-2_36 | CYBERNETICS AND MATHEMATICS APPLICATIONS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 2 |
Keywords | Field | DocType |
Intelligent telemetry data analysis,Data preprocessing,Feature selection,Clustering,Predicting,Kohonen self-organizing map,Image segmentation,Satellite onboard equipment,Failures | Data mining,Feature selection,Computer science,Image processing,Data pre-processing,Image segmentation,Self-organizing map,Software,Component-based software engineering,Cluster analysis | Conference |
Volume | ISSN | Citations |
574 | 2194-5357 | 1 |
PageRank | References | Authors |
0.63 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vadim Skobtsov | 1 | 2 | 2.26 |
| Natalia Novoselova | 2 | 5 | 2.81 |
| Vyacheslav Arhipov | 3 | 1 | 0.96 |
| Semyon A. Potryasaev | 4 | 18 | 7.34 |