A Multi-Fault Diagnosis Method for Sensor Systems Based on Principle Component Analysis

A model based on PCA (principal component analysis) and a neural network is proposed for the multi-fault diagnosis of sensor systems. Firstly, predicted values of sensors are computed by using historical data measured under fault-free conditions and a PCA model. Secondly, the squared prediction erro...

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Detalles Bibliográficos
Autores principales: Zhu, Daqi, Bai, Jie, Yang, Simon X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270838/
https://www.ncbi.nlm.nih.gov/pubmed/22315537
http://dx.doi.org/10.3390/s100100241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270838/
https://www.ncbi.nlm.nih.gov/pubmed/22315537
http://dx.doi.org/10.3390/s100100241

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