Measurement process control by means of algorithms based on digital image processing

Author

Arpaia, P. ; Betta, G. ; Langella, A. ; Sacco, E.

Author_Institution

Dipt. di Ingegneria Elettrica, Univ. di Napoli Federico II, Italy

Volume

146

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

27

Lastpage

34

Abstract

The real-time verification of the correct functioning of a measurement system is not only seldom performed, but also done using fairly ineffective statistical tools such as traditional Shewhart control charts. By considering measurement results reported in a control chart as a digital image, two digital-image-processing algorithms are proposed for the early fault diagnosis (detection and identification) of measurement processes. The first algorithm exploits a uniform-approximation technique to face mainly problems of the measurement process and/or instrument drifts. The second is based on the Hough transform to approach cyclic phenomena also for low signal-to-noise ratios. Results of the numerical characterisation and experimental validation demonstrate the practical applicability and the effectiveness of the proposed algorithms

Keywords

Hough transforms; ISO standards; calibration; certification; computerised instrumentation; fault diagnosis; identification; image processing; interpolation; measurement systems; measurement theory; polynomial approximation; quality management; statistical process control; Hough transform; Shewhart control chart; convergence; correct functioning; cyclic phenomena; digital image processing based algorithms; early fault diagnosis; instrument drifts; interpolation; low signal-to-noise ratios; measurement process control; measurement system; model identification; polynomials; real-time verification; uniform-approximation technique;

fLanguage

English

Journal_Title

Science, Measurement and Technology, IEE Proceedings -

Publisher

iet

ISSN

1350-2344

Type

jour

DOI

10.1049/ip-smt:19990006

Filename

755706