Advances in Technical Diagnostics II
portes grátis
Advances in Technical Diagnostics II
Proceedings of the 7th International Congress on Technical Diagnostics, ICTD 2022, 14-16 September 2022, Radom, Poland
Lazarz, Boguslaw Edward; Komorska, Iwona; Zimroz, Radoslaw; Chaari, Fakher; Puchalski, Andrzej
Springer International Publishing AG
05/2023
229
Dura
Inglês
9783031317187
15 a 20 dias
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fault Detection and Identification with Neural Networks;Fault Diagnosis with AI;IoT for Condition Monitoring;Diagnostics of Machines and Materials;Structural Health Monitoring;Cyber Attacks Detection in Connected and Automated Vehicles;Monitoring and Control of Energy Systems;Fuzzy Condition Monitoring;Gearbox Vibration Modeling;Acoustic Emission Sensors;Machine Learning for Fault Detection;Deep Learning in Condition Monitoring;Vibroacoustic Models;Online Monitoring Systems;Optimization Algorithms in Condition Monitoring;Swarm Intelligence Based Routing Protocol
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fault Detection and Identification with Neural Networks;Fault Diagnosis with AI;IoT for Condition Monitoring;Diagnostics of Machines and Materials;Structural Health Monitoring;Cyber Attacks Detection in Connected and Automated Vehicles;Monitoring and Control of Energy Systems;Fuzzy Condition Monitoring;Gearbox Vibration Modeling;Acoustic Emission Sensors;Machine Learning for Fault Detection;Deep Learning in Condition Monitoring;Vibroacoustic Models;Online Monitoring Systems;Optimization Algorithms in Condition Monitoring;Swarm Intelligence Based Routing Protocol
