A Fault Diagnosis Method for Quadruped Robot Based on Hybrid Deep Neural Networks

Zhaoxu Wang; Huiping Li; Zhuoying Chen; Qinglong Qinglong Han

doi:10.1109/tii.2024.3523534

A Fault Diagnosis Method for Quadruped Robot Based on Hybrid Deep Neural Networks

IEEE Transactions on Industrial Informatics: 1-10

Article 2025 English

Abstract

1 min read

The complex and precise mechanical mechanism of quadruped robots is prone to faults, which brings challenges to the reliability and stability of the system. The

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2023

Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis

Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi

Neural Networks

Chapter in a book2024

Artificial intelligence for electric machine fault diagnosis

Article2023

Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis

Zhiqiang Zhang, Funa Zhou, Hamid Reza Karimi, Hamido Fujita, Xiong Hu, Chenglin Wen, Tianzhen Wang

Engineering Applications of Artificial Intelligence

Article2016

Fault Diagnosis and Fault-tolerant Control of Modular Multi-level Converter High-voltage DC System: A Review

Article2025

A Bionic Blind‐Guiding Robot Based on Wheeled‐Legged Foldable Structure

Guanrong Chen, Qingyu Meng, Xinyuan Zhu, Ao Cao, Hongbo Ding, Yuxiang Lin