Neural Network-Based Model for Classification of Faults During Operation of a Robotic Manipulator

Neural Network-Based Model for Classification of Faults During Operation of a Robotic Manipulator

The importance of error detection is high, especially in modern manufacturing processes where assembly lines operate without direct supervision. Stopping the faulty operation in time can prevent damage to the assembly line. Public dataset is used, containing 15 classes, 2 types of faultless operatio...

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Bibliographic Details
Main Authors: Sandi Baressi Šegota*, Nikola Anđelić, Zlatan Car, Mario Šercer
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
Convolutional Neural Network
Multilayer Perceptron
Robot Fault Detection
Siamese Neural Network
Support Vector Machine
Online Access:https://hrcak.srce.hr/file/379508

Internet

https://hrcak.srce.hr/file/379508

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