Intelligent Engineering Methods for Smart Systems: Modeling, Vibration, Sensing, and Diagnosis
Topic Information
Dear Colleagues,
Modern engineering systems increasingly rely on the integration of mathematical modeling, computational algorithms, sensing technologies, and intelligent diagnostic methods. This Topic aims to bring together advances in analytical, numerical, and data-driven approaches for the modeling, analysis, monitoring, and diagnosis of complex engineering and bioengineering systems. Contributions may address fundamental mathematical methods, computational algorithms, vibration and dynamic system analysis, sensor-based measurement and monitoring, machine health assessment, signal processing, artificial intelligence, and intelligent fault diagnosis. The Topic aims to encourage work that connects rigorous mathematical and computational foundations with practical engineering applications, including mechanical systems, smart machines, biomedical devices, and sensor-enabled diagnostic platforms. Both theoretical developments and application-driven studies are welcome, particularly those demonstrating how mathematical and computational methods can improve system understanding, reliability, performance, monitoring, and decision-making in modern engineering contexts.
Prof. Dr. Natalie Baddour
Prof. Dr. Patrick Dumond
Prof. Dr. Juanjuan Shi
Topic Editors
Keywords
- mathematical modeling
- computational methods
- engineering systems
- vibration analysis
- dynamic systems
- sensor-based monitoring
- signal processing
- intelligent diagnosis
- fault detection
- machine learning
- smart machines
- bioengineering systems
- predictive maintenance
- system identification
- condition monitoring
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