Mrabti Ammar (62 results)

Condition: New.

Taschenbuch. Condition: Neu. Intelligent diagnosis of rotating machines using VMD | Advanced approaches to signal processing and machine learning | Ammar Mrabti (u. a.) | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786209500664 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Diagnostic intelligent des machines tournantes par la VMD | Approches avancées de traitement du signal et d'apprentissage automatique | Ammar Mrabti (u. a.) | Taschenbuch | Französisch | 2025 | Éditions universitaires européennes | EAN 9786209230042 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Inteligentna diagnostyka maszyn wirnikowych z wykorzystaniem VMD | Zaawansowane podej¿cie do przetwarzania sygna¿ów i uczenia maszynowego | Ammar Mrabti (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209510908 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Diagnosi intelligente di macchine rotanti con VMD | Approcci avanzati all'elaborazione del segnale e all'apprendimento automatico | Ammar Mrabti (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209505782 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Diagnóstico inteligente de máquinas rotativas utilizando VMD | Abordagens avançadas ao processamento de sinais e à aprendizagem automática | Ammar Mrabti (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209513466 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Intelligente Diagnose rotierender Maschinen durch VMD | Fortgeschrittene Ansätze der Signalverarbeitung und des maschinellen Lernens | Ammar Mrabti (u. a.) | Taschenbuch | 128 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209597930 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 128 pp. Spanisch.

Paperback. Condition: 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.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Este libro presenta un enfoque innovador del diagnóstico de averías en maquinaria rotativa, basado en la descomposición modal variacional (VMD) y en técnicas de inteligencia artificial. Comienza con un análisis de las estrategias de monitorización de estado y las limitaciones de los métodos convencionales de procesamiento de señales. La VMD se compara con la Descomposición Modal Empírica (EMD) para demostrar su superioridad en la extracción de firmas de fallo en entornos ruidosos. Se propone un criterio basado en la entropía de Shannon para optimizar el número de modos, mientras que la integración de la descomposición wavelet multirresolución (WMRA) mejora la detección de fallos débiles. Por último, se desarrolla un modelo híbrido VMD-LSTM para la clasificación automática y la evaluación de la gravedad de los fallos. Combinando rigor científico y validación experimental, este libro ofrece una importante contribución al diagnóstico predictivo y al mantenimiento inteligente en el contexto de la Industria 4.0.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Spanisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Französisch.