Journal article
Sensor fault detection for manufacturing quality control
IIE transactions, Vol.41(7), pp.605-614
05/11/2009
DOI: 10.1080/07408170802389290
Abstract
This paper proposes a W control chart that is able to detect sensor mean shift faults and distinguish them from potential process faults in discrete-part manufacturing processes. The control chart is set up based on a linear fault quality model. The sensitivity of the W chart to the occurrence of sensor faults is studied. An index called the sensitivity ratio is used to investigate the effects of sensor fault locations and the sensor layout on the sensitivity of the W chart to sensor faults. In comparison with traditional control charts, which directly monitor the product quality characteristics, the proposed W chart can effectively separate sensor faults from process faults. An automotive body assembly process is used as an example to demonstrate the performance of the W chart.
[Supplementary materials are available for this article. Go to the publisher's online edition of IIE Transactions for the following free supplemental resource: Appendix]
Details
- Title: Subtitle
- Sensor fault detection for manufacturing quality control
- Creators
- Shan Li - Department of Mechanical and Industrial Engineering and Center for Computer-Aided Design , University of IowaYong Chen - Department of Mechanical and Industrial Engineering and Center for Computer-Aided Design , University of Iowa
- Resource Type
- Journal article
- Publication Details
- IIE transactions, Vol.41(7), pp.605-614
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/07408170802389290
- ISSN
- 0740-817X
- eISSN
- 1545-8830
- Language
- English
- Date published
- 05/11/2009
- Academic Unit
- Industrial and Systems Engineering
- Record Identifier
- 9984064589902771
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