Fault Diagnosis by Multisensor Data: A Data-Driven Approach Based on Spectral Clustering and Pairwise Constraints

This paper deals with clustering based on feature selection of multisensor data in high-dimensional space. Spectral clustering algorithms are efficient tools in signal processing for grouping datasets sampled by multisensor systems for fault diagnosis. The effectiveness of spectral clustering stems...

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Detalles Bibliográficos
Autores principales: Pacella, Massimo, Papadia, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764764/
https://www.ncbi.nlm.nih.gov/pubmed/33321733
http://dx.doi.org/10.3390/s20247065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764764/
https://www.ncbi.nlm.nih.gov/pubmed/33321733
http://dx.doi.org/10.3390/s20247065

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