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Advances in Technical Diagnostics II

Proceedings of the 7th International Congress on Technical Diagnostics, ICTD 2022, 14–16 September 2022, Radom, Poland

Bogusław Edward Łazarz (Hrsg.), Fakher Chaari (Hrsg.), Iwona Komorska (Hrsg.), Andrzej Puchalski (Hrsg.), Radoslaw Zimroz (Hrsg.)

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Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

This book reports on recent theories and methods for diagnostics and condition monitoring of machines, materials and industrial processes, with a special emphasis on the application of artificial intelligence and intelligent control systems. Gathering original contributions to the 7th International Congress on Technical Diagnostics, ICTD2022, held on September 14–16, 2022, in Radom, Poland, this book offers extensive information on the latest trends in machine diagnostics and on IoT, smart sensors and machine learning technology in advanced condition monitoring. It addresses both scientists and professionals and is intended to foster communication and collaborations between the two groups.

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Optimization Algorithms in Condition Monitoring, Online Monitoring Systems, Machine Learning for Fault Detection, Deep Learning in Condition Monitoring, Cyber Attacks Detection in Connected and Automated Vehicles, Fault Diagnosis with AI, Vibroacoustic Models, Acoustic Emission Sensors, Structural Health Monitoring, Diagnostics of Machines and Materials, Fuzzy Condition Monitoring, Monitoring and Control of Energy Systems, Fault Detection and Identification with Neural Networks, Swarm Intelligence Based Routing Protocol, Gearbox Vibration Modeling, IoT for Condition Monitoring