NDLI: Kalman Filtering Applied to Sheet Measurement

Content Provider	IEEE Xplore Digital Library
Author	Chen, Shih-Chin
Copyright Year	1988
Description	Author affiliation: Process Automation Business / AccuRay, Combustion Engineering, 650 Ackerman Rd., Columbus Ohio 43202 (Chen, Shih-Chin)
Abstract	Sheet-making processes such as aluminum foil, plastic sheet, or paper generally employ on-line sensors to measure the thickness or weight per area of the sheet. The sensors may be placed at a fixed distance from the edge, scanned over the sheet, or may provide non-scanning full width measurements. The character of the process variations vary widely according to the nature of the process. Some contain strong periodic components, while others are more random. The goal of signal processing for sheet measurement is to produce a precise estimate of sheet variations. In this paper, we describe how the Kalman filter can be applied to estimate the variations in different types of sheets. For metal sheet, the periodic variations caused by rolls are our main concern. For plastic sheet, narrow streaks on the sheet need to be detected immediately. Two dimensional estimation is crucial to paper sheet measurement. A dual Kalman filter which contains the combination of a temporal model and a spatial model is proposed to produce the required estimate.
Starting Page	643
Ending Page	647
File Size	305069
Page Count	5
File Format	PDF
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-06-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Kalman filters Filtering Plastics Area measurement Thickness measurement Position measurement Automation Combustion Aluminum Signal processing
Content Type	Text
Resource Type	Article

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