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Intelligent diagnosis of rotating machines using VMD (Paperback)

Ammar Mrabti

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6209500668 ISBN 13 : 9786209500664

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Paperback. Etat : new. Paperback. This book presents an innovative approach to fault diagnosis in rotating machines, based on Variational Mode Decomposition (VMD) and artificial intelligence techniques. It begins with an analysis of condition monitoring strategies and the limitations of conventional signal processing methods. VMD is compared with Empirical Mode Decomposition (EMD) to demonstrate its superiority for extracting fault signatures in noisy environments. A criterion based on Shannon entropy is proposed to optimize the number of modes, while the integration of Multiresolution Wavelet Decomposition (WMRA) improves detection of weak defects. Finally, a hybrid VMD-LSTM model is developed for automatic classification and assessment of fault severity. Combining scientific rigor and experimental validation, this book offers a major contribution to predictive diagnostics and intelligent maintenance in the context of Industry 4.0. 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 9786209500664

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Intelligent diagnosis of rotating machines using VMD

Ammar Mrabti

Edit� par Our Knowledge Publishing Jan 2026, 2026

ISBN 10 : 6209500668 ISBN 13 : 9786209500664

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch. N� de r�f. du vendeur 9786209500664

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Intelligent diagnosis of rotating machines using VMD (Paperback)

Ammar Mrabti

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6209500668 ISBN 13 : 9786209500664

Neuf Paperback

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Paperback. Etat : new. Paperback. This book presents an innovative approach to fault diagnosis in rotating machines, based on Variational Mode Decomposition (VMD) and artificial intelligence techniques. It begins with an analysis of condition monitoring strategies and the limitations of conventional signal processing methods. VMD is compared with Empirical Mode Decomposition (EMD) to demonstrate its superiority for extracting fault signatures in noisy environments. A criterion based on Shannon entropy is proposed to optimize the number of modes, while the integration of Multiresolution Wavelet Decomposition (WMRA) improves detection of weak defects. Finally, a hybrid VMD-LSTM model is developed for automatic classification and assessment of fault severity. Combining scientific rigor and experimental validation, this book offers a major contribution to predictive diagnostics and intelligent maintenance in the context of Industry 4.0. 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 9786209500664

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Intelligent diagnosis of rotating machines using VMD (Paperback)

Ammar Mrabti

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6209500668 ISBN 13 : 9786209500664

Neuf Paperback

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Paperback. Etat : new. Paperback. This book presents an innovative approach to fault diagnosis in rotating machines, based on Variational Mode Decomposition (VMD) and artificial intelligence techniques. It begins with an analysis of condition monitoring strategies and the limitations of conventional signal processing methods. VMD is compared with Empirical Mode Decomposition (EMD) to demonstrate its superiority for extracting fault signatures in noisy environments. A criterion based on Shannon entropy is proposed to optimize the number of modes, while the integration of Multiresolution Wavelet Decomposition (WMRA) improves detection of weak defects. Finally, a hybrid VMD-LSTM model is developed for automatic classification and assessment of fault severity. Combining scientific rigor and experimental validation, this book offers a major contribution to predictive diagnostics and intelligent maintenance in the context of Industry 4.0. 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 9786209500664

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Intelligent diagnosis of rotating machines using VMD

Ammar Mrabti

Edit� par Our Knowledge Publishing Jan 2026, 2026

ISBN 10 : 6209500668 ISBN 13 : 9786209500664

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an innovative approach to fault diagnosis in rotating machines, based on Variational Mode Decomposition (VMD) and artificial intelligence techniques. It begins with an analysis of condition monitoring strategies and the limitations of conventional signal processing methods. VMD is compared with Empirical Mode Decomposition (EMD) to demonstrate its superiority for extracting fault signatures in noisy environments. A criterion based on Shannon entropy is proposed to optimize the number of modes, while the integration of Multiresolution Wavelet Decomposition (WMRA) improves detection of weak defects. Finally, a hybrid VMD-LSTM model is developed for automatic classification and assessment of fault severity. Combining scientific rigor and experimental validation, this book offers a major contribution to predictive diagnostics and intelligent maintenance in the context of Industry 4.0.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 120 pp. Englisch. N� de r�f. du vendeur 9786209500664

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