Intelligent diagnosis of rotating machines using VMD | Advanced approaches to signal processing and machine learning

Ammar Mrabti (u. a.)

ISBN 10: 6209500668 / ISBN 13: 9786209500664

Published by Our Knowledge Publishing, 2026

About this Item

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.

Seller Inventory # 134524834

Bibliographic Details

• Title: Intelligent diagnosis of rotating machines using VMD | Advanced approaches to signal processing and machine learning
• Publisher: Our Knowledge Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 6209500668
• ISBN 13: 9786209500664
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 197 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.