Deep Learning-Based Predictive Maintenanace (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

6630259092 / 9786630259094

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Paperback. "Deep Learning-Based Predictive Maintenance and Anomaly Detection for Spacecraft Engines" presents an intelligent framework that uses deep learning techniques to monitor the health of spacecraft engines, identify abnormal operating conditions, and predict potential failures before they occur. By analyzing sensor data collected during engine operation, the proposed approach detects hidden patterns and early signs of degradation, enabling timely maintenance and reducing the risk of mission failure. Advanced neural network models, such as recurrent and convolutional architectures, improve fault detection accuracy and support real-time decision-making. The proposed system enhances spacecraft reliability, minimizes maintenance costs, extends engine lifespan, and contributes to safer and more efficient space missions. This research demonstrates the potential of artificial intelligence to transform predictive maintenance strategies in the aerospace industry. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Seller Inventory # 9786630259094

Title
Deep Learning-Based Predictive Maintenanace (Paperback)
Author
MS D. Banu Kranthi
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6630259092
ISBN 13
9786630259094

Grand Eagle Retail

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