Advances in Technical Diagnostics II

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

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

Buch | Softcover

XIII, 229 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-31721-7 (ISBN)

Artikel merken

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.

Ship diesel engine fault diagnosis using data science and machine learning.- Laser spot thermography for defect detection in composite structure.- Monitoring the technical condition of the marine turbine engines by analysis of rundown resonance parameter.- Theoretical-experimental determination of CVT power losses due to rubber V-belt vibrations.- Dynamic model for simulation of phenomena occurring in a planetary gear operating in a power transmission system.- Acoustic emission monitoring for wire drawing process.- Cycloidal gearbox model for transient analysis implemented in Fortran with constant time step 2nd order integrator.- Experimental setup for nondestructive testing of composite structures using laser spot thermography.- Neural network-based road surface condition monitor concept.- Method of fault detection of drive systems using features of Park's vector hodograph.

Erscheinungsdatum	22.05.2024
Reihe/Serie	Applied Condition Monitoring
Zusatzinfo	XIII, 229 p. 156 illus., 133 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Acoustic Emission Sensors • Cyber Attacks Detection in Connected and Automated Vehicles • Deep Learning in Condition Monitoring • Diagnostics of Machines and Materials • Fault Detection and Identification with Neural Networks • Fault Diagnosis with AI • Fuzzy Condition Monitoring • Gearbox Vibration Modeling • IoT for Condition Monitoring • Machine Learning for Fault Detection • Monitoring and Control of Energy Systems • Online Monitoring Systems • Optimization Algorithms in Condition Monitoring • Structural Health Monitoring • Swarm Intelligence Based Routing Protocol • Vibroacoustic Models
ISBN-10	3-031-31721-1 / 3031317211
ISBN-13	978-3-031-31721-7 / 9783031317217
Zustand	Neuware