Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots-Reference-Cited by-同舟云学术

Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots

Published:2023-01 Issue: Volume:182 Page:109569
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Long Jianyu,Qin Yaoxin,Yang Zhe,Huang Yunwei,Li Chuan

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference53 articles.

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4. Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles;Sun;Int. J. Naval Archit. Ocean Eng.,2016

5. Actuator failure detection and isolation using generalized momenta;Luca;IEEE Int. Conf. Robot. Autom.,2003

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