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Sensor and Actuator Fault Diagnosis for Robot Joint Based on Deep CNN

This paper proposes a data-driven method-based fault diagnosis method using the deep convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator faults of robot joints, such as gain error, offset error, and malfunction for both sensors and actuators, and different fault ty...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Pan, Jinghui, Qu, Lili, Peng, Kaixiang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8232324/
https://ncbi.nlm.nih.gov/pubmed/34203708
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23060751
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