Data mining photovoltaic cell manufacturing data

Author

Evans, Roger ; Dore, Jonathon ; Van Voorthuysen, Erik ; Jingbing Zhu ; Green, Martin A.

Author_Institution

Australian Centre for Adv. Photovoltaics, UNSW, Sydney, NSW, Australia

fYear

2014

fDate

8-13 June 2014

Firstpage

2699

Lastpage

2704

Abstract

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.

Keywords

data mining; electronic engineering computing; graph theory; integrated circuit manufacture; production engineering computing; solar cells; statistical analysis; PV cell; SPC; data mining techniques; graphical methods; multivariate analysis; photovoltaic cell manufacturing data; process variance; statistical analysis techniques; time based changes; wafer material quality; Data mining; Manufacturing; Materials; Photovoltaic systems; Production; Time series analysis; Vectors; data mining; manufacturing; photovoltaic cells; process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th

Conference_Location

Denver, CO

Type

conf

DOI

10.1109/PVSC.2014.6925486

Filename

6925486