DEEP LEARNING-BASED PREDICTIVE MAINTENANACE: AND ANOMALY DETECTION FOR SPACECRAFT ENGINES - Couverture souple

Name: DEEP LEARNING-BASED PREDICTIVE MAINTENANACE: AND ANOMALY DETECTION FOR SPACECRAFT ENGINES
Author: Kranthi, Ms. D. Banu; Srividya, L. N
ISBN: 9786630259094

Kranthi, Ms. D. Banu ; Srividya, L. N

9786630259094: DEEP LEARNING-BASED PREDICTIVE MAINTENANACE: AND ANOMALY DETECTION FOR SPACECRAFT ENGINES

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ISBN 10 : 6630259092 ISBN 13 : 9786630259094

Editeur : LAP LAMBERT Academic Publishing, 2026

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6630259092
ISBN 13: 9786630259094
Reliure: Broch�
Nombre de pages: 60
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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DEEP LEARNING-BASED PREDICTIVE MAINTENANACE

Kranthi, Ms. D. Banu

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786630259094

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DEEP LEARNING-BASED PREDICTIVE MAINTENANACE

Kranthi, Ms. D. Banu

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

Neuf PAP

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786630259094

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Deep Learning-Based Predictive Maintenanace (Paperback)

MS D. Banu Kranthi

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

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Paperback. Etat : new. 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. N� de r�f. du vendeur 9786630259094

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Deep Learning-Based Predictive Maintenanace

Kranthi, MS D Banu; Srividya, L N

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

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DEEP LEARNING-BASED PREDICTIVE MAINTENANACE

L. N Srividya

Edit� par LAP LAMBERT Academic Publishing Aug 2026, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch. N� de r�f. du vendeur 9786630259094

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DEEP LEARNING-BASED PREDICTIVE MAINTENANACE : AND ANOMALY DETECTION FOR SPACECRAFT ENGINES

L. N Srividya

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - '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. N� de r�f. du vendeur 9786630259094

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Deep Learning-Based Predictive Maintenanace (Paperback)

MS D. Banu Kranthi

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

Neuf Paperback

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Vendeur : AussieBookSeller, Truganina, VIC, Australie

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Paperback. Etat : new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9786630259094

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Deep Learning-Based Predictive Maintenanace (Paperback)

MS D. Banu Kranthi

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

Neuf Paperback

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Vendeur : CitiRetail, Stevenage, Royaume-Uni

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Paperback. Etat : new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786630259094

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DEEP LEARNING-BASED PREDICTIVE MAINTENANACE

L. N Srividya

Edit� par LAP LAMBERT Academic Publishing Aug 2026, 2026

ISBN 10 : 6630259092 ISBN 13 : 9786630259094

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'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. 60 pp. Englisch. N� de r�f. du vendeur 9786630259094

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