Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data

One of the biggest challenges for the fault diagnosis research of industrial robots is that the normal data is far more than the fault data; that is, the data is imbalanced. The traditional diagnosis approaches of industrial robots are more biased toward the majority categories, which makes the diag...

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Detalles Bibliográficos
Autores principales: Sun, Yue, Xu, Aidong, Wang, Kai, Zhou, Xiufang, Guo, Haifeng, Han, Xiaojia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317314/
https://www.ncbi.nlm.nih.gov/pubmed/35885094
http://dx.doi.org/10.3390/e24070871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317314/
https://www.ncbi.nlm.nih.gov/pubmed/35885094
http://dx.doi.org/10.3390/e24070871

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