Enhancing Aviation Safety: A Deep Learning-Based Fault Detection System for Jet Engines
The reliable detection of faults and anomalies in aircraft engines is vital for ensuring aviation safety and operational efficiency. Traditional methods often struggle with the complexity of data from modern engines, necessitating innovative approaches. In recent years, deep learning, particularly D...
| 出版年: | 2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024 |
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| 主要な著者: | , , , , |
| フォーマット: | Proceedings Paper |
| 言語: | English |
| 出版事項: |
IEEE
2024
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700047 |