Hostname: page-component-848d4c4894-wzw2p Total loading time: 0 Render date: 2024-05-31T07:08:20.842Z Has data issue: false hasContentIssue false
  • English
  • Français

Real-Time Fault Diagnosis of Sensors for Fault-Tolerant Control of Thin-Film CIGS Photovoltaics Process

Published online by Cambridge University Press:  01 February 2011

Bharat Joshi ,
Markus E. Beck ,
Jeffrey S. Britt ,
Michael Chaffin ,
Nicholas Gomez ,
John Muha ,
L.J. Simpson  and
Scott Wiedeman
Bharat Joshi
Affiliation:
ITN Energy Systems Inc., 8130 Shaffer Parkway, Littleton, CO 80127
Markus E. Beck
Affiliation:
Global Solar Energy, Inc., 5575 S. Houghton Road, Tucson, AZ 85747
Jeffrey S. Britt
Affiliation:
Global Solar Energy, Inc., 5575 S. Houghton Road, Tucson, AZ 85747
Michael Chaffin
Affiliation:
ITN Energy Systems Inc., 8130 Shaffer Parkway, Littleton, CO 80127
Nicholas Gomez
Affiliation:
ITN Energy Systems Inc., 8130 Shaffer Parkway, Littleton, CO 80127
John Muha
Affiliation:
Global Solar Energy, Inc., 5575 S. Houghton Road, Tucson, AZ 85747
L.J. Simpson
Affiliation:
ITN Energy Systems Inc., 8130 Shaffer Parkway, Littleton, CO 80127
Scott Wiedeman
Affiliation:
Global Solar Energy, Inc., 5575 S. Houghton Road, Tucson, AZ 85747
Get access

Abstract

ITN Energy Systems, Inc., (ITN) and Global Solar Energy, Inc., (GSE) have continued the advancement of copper indium gallium diselenide (CIGS) production technology through the development of a number of activities, including fault-tolerant control, in-situ sensors, and process improvements, with the goal of enabling uninterrupted continuous manufacturing of high quality CIGS materials that are very sensitive to processing conditions. In this paper real-time sensor fault detection and diagnosis strategies developed by ITN and GSE to enable fault-tolerant controllers for thin-film CIGS deposition process are presented. The results indicate that these strategies are very effective and they would play a major role in improving system reliability, thereby also improving yield, throughput, and efficiency. Sensing process reconfiguration methodologies that lead to fault-tolerant controllers also are briefly discussed.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 763: Symposium B – Compound Semiconductor Photovoltaics , 2003 , B8.12
Copyright
Copyright © Materials Research Society 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Chiang, L.H., Russell, E.L., and Braatz, R.D., Fault Detection and Diagnosis in Industrial Systems (Springer-Verlag, London, 2001).Google Scholar
2. Eisgruber, I.L., Joshi, B., Gomez, N., Britt, J. and Vincent, T., Thin Solid Films 408, 64 (2002)Google Scholar
3. Isermann, R. and Ball, P., Trends in the application of model based fault detection and diagnosis of technical processes, Proceedings of the 13th IFAC World Congress, Vol. N, pages 1–12, IEEE Press, 1996.Google Scholar
4. Gustafsson, Fredrik, Adaptive Filtering and Change Detection (John Wiley & Sons, Hoboken, NJ, 2002).Google Scholar