Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot-Reference-Cited by-同舟云学术

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Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot

Published:2022-11 Issue: Volume:129 Page:109554
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Miao Zhaoming,Zhou Fengyu,Yuan Xianfeng^ORCID,Xia Yingxiang^ORCID,Chen Ke

Publisher

Elsevier BV

Subject

Software

Reference37 articles.

1. Reinforcement learning neural network-based adaptive control for state and input time-delayed wheeled mobile robots;Li;IEEE Trans. Syst. Man Cybern.,2018

2. Fault detection and diagnosis in multi-robot systems: A survey;Khalastchi;Sensors,2019

3. Actuator and sensor fault estimation for time-delay markov jump systems with application to wheeled mobile manipulators;Yang;IEEE Trans. Ind. Inf.,2019

4. A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches;Gao;IEEE Trans. Ind. Electron.,2015

5. Fault detection for service mobile robots using model-based method;Stavrou;Auton. Robots,2016

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