QUALITY ASSURANCE OF AUTOMATED MEASURING SYSTEMS – BACKGROUND FOR A NEW EUROPEAN STANDARD

Air monitoring

QUALITY ASSURANCE OF AUTOMATED MEASURING SYSTEMS – BACKGROUND FOR A NEW EUROPEAN STANDARD

06 Oct, 2014

Published over 11 years ago. See the latest and most current information on Air monitoring.

Annemette Geertinger, Peter Blinksbjerg, Henk Spoelstra, Henrik Madsen, Jean Poulleau, Peter Woods and Rolf Kordecki
2 min read
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ABSTRACT

The work carried out by Working Group 9 within Technical Committee 264 of CEN is concerned with the development and prescription of procedures for a European Standard titled “Stationary source emissions – Quality assurance of automated measuring systems”. This will be described.

The development of the standard has been an iterative process, where theoretical considerations, technical discussions, and data analysis have been carried out following practical work, which included field tests. This working process is described and the outcome of this, which has produced the draft Standard, is presented.

The philosophies behind the individual procedures within this Standard are also explained. It should be emphasised that well-known statistical procedures and national or international standards have been used as the basis for the Standard wherever possible .

Examples from field-tests will be used to demonstrate the use of the standard.

INTRODUCTION

The aim of this paper is to describe the work done by Working Group 9 within Technical Committee (TC) 264 of CEN, and specifically to discuss how the procedures of the European Standard “Stationary source emissions – Quality assurance of automated measuring systems” were developed and laid down.

This paper is intended to give an overview of the steps involved and the work performed. These steps have included both theoretical considerations and practical work carried out in field tests. Furthermore the intention and the overall theme for the Working Group was to develop a standard which draws on existing standards and sound statistical methods. In addition, the methods used and results obtained should be as simple and easy to understand as possible.

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