Data mining photovoltaic cell manufacturing data

So called "data mining" techniques comprise a broad family of statistical investigative and analysis techniques from informal exploratory and graphical methods through to sophisticated multivariate analysis. Data mining of photovoltaic (PV) cell manufacturing data can be used with an under...

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Bibliographic Details
Main Authors: Evans, Rhett, Dore, Jonathon, Van Voorthuysen, Erik, Jingbing Zhu, Green, Martin A.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Manufacturing
Materials
photovoltaic cells
Photovoltaic systems
process control
Production
Time series analysis
Vectors
Citations: Items that cite this one
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Summary:So called "data mining" techniques comprise a broad family of statistical investigative and analysis techniques from informal exploratory and graphical methods through to sophisticated multivariate analysis. Data mining of photovoltaic (PV) cell manufacturing data can be used with an understanding of cell performance to isolate the variance in production associated with wafer material quality or other time based changes. This can lead to new insights for SPC and for understanding process variance.
ISSN:0160-8371
DOI:10.1109/PVSC.2014.6925486