Fault Detection for Aircraft Piston Engine Using Self-Organizing Map
| Autor: | Dubravko Miljkovic |
|---|---|
| Přispěvatelé: | Petar Biljanović |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Self-organizing map
010308 nuclear & particles physics business.industry Computer science 02 engineering and technology Parameter space 01 natural sciences Fault detection and isolation Automotive engineering law.invention Temporal database Piston Data visualization law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing aircraft piston engine engine monitor fault detection self-organizing map business Engine control unit Engine coolant temperature sensor Simulation |
| Zdroj: | MIPRO |
| Popis: | Aircraft piston engine can be monitored using an advanced graphic engine monitor. Such engine monitor can supply a large amount of data containing evolution of engine parameters through the time. Analysis of a vast amount of multidimensional temporal data by a self- organizing map may aid in data visualization, but also in detection of engine parameter deviations from normality indicating potential problems in operation of aircraft piston engine. For determination of engine parameter space that corresponds to normal engine operation quantization error of the self- organizing map is used. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|