Learning for Predictions: Real-Time Reliability Assessment of Aerospace Systems
| Autor: | Pier Carlo Berri, Matteo Davide Lorenzo Dalla Vedova, Laura Mainini |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Flight Operation
Artificial Neural Network Support Vector Machine Actuator Control Electronics Computer science Real Time Fault Detection Aerospace Engineering Prediction Algorithms Aerospace Systems Fault Detection and Identification Prognostics and Health Management (PHM) Remaining Useful Life (RUL) Data acquisition Reliability (statistics) Artificial neural network Kalman filter Limiting Reliability engineering Support vector machine Aircraft Flight Control Nonlinear system Prediction algorithms Prognostics Aerospace System Computational Methods Nonlinear Systems Aerospace systems |
| Zdroj: | Scopus-Elsevier |
| Popis: | Prognostics and health management aim to predict the remaining useful life (RUL) of a system and to allow a timely planning of replacement of components, limiting the need for corrective maintenanc... |
| Databáze: | OpenAIRE |
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