Multi-Sensor Information Fusion, Advanced Signal Analysis, and Intelligent Fault Diagnosis—2nd Edition

Dear Colleagues,

Recently, along with the rapid evolution of intelligence and informatization, sensors have begun to play an important role in industrial development. Multi-sensor information fusion is the integration of multiple sensor systems, which can collect sensor signals that characterize the state of mechanical equipment and diagnose or predict different target states through advanced signal analysis methods. Additionally, manufacturing-process monitoring and control based on multi-sensor information fusion have become research hotspots in academia and industry to ensure the reliability of component quality and the repeatability of manufacturing.

This Special Issue therefore aims to put together original research and review articles regarding recent advancements, technologies, solutions, applications, and new challenges in the field of multi-sensor information fusion.

Potential topics include but are not limited to the following:

• Multi-sensor information fusion;
• Advanced signal analysis and machine learning methods;
• Intelligent fault diagnosis based on deep learning and digital twins;
• Manufacturing process monitoring and control;
• Data-driven smart manufacturing.

Dr. Fengtao Wang
Dr. Alessandro Simeone
Dr. Weilin Ye
Guest Editors

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