1. bookVolume 60 (2015): Issue 3 (September 2015)
Journal Details
License
Format
Journal
eISSN
1508-5791
First Published
25 Mar 2014
Publication timeframe
4 times per year
Languages
English
access type Open Access

Industrial diagnostics system using gamma radiation

Published Online: 25 Sep 2015
Volume & Issue: Volume 60 (2015) - Issue 3 (September 2015)
Page range: 633 - 636
Received: 29 Sep 2014
Accepted: 20 May 2015
Journal Details
License
Format
Journal
eISSN
1508-5791
First Published
25 Mar 2014
Publication timeframe
4 times per year
Languages
English
Abstract

During the operation of large industrial installations, a very important task is to maintain the proper technical state. In the event of an emergency, it is vital to locate the place of occurrence as soon as possible. In solving this type of problem, it often helps to apply the methods of measurement associated with ionizing radiation. One of these methods is the gamma scanning. The purpose of this type of measurement is the detection and localization of disturbance of technological processes which may result in incorrect decomposition the fl owing medium and workpiece (sediments, congestion) as well as damage to the internal constructions. A particularly: (i) preventive diagnosis - early detection of installation failure; (ii) rationalization of repairs and renovations - to determine the need to take or not to take remedial action; (iii) quick and precise installation inspections - to gain knowledge of the technical condition and technological installations; (iv) indication of worn parts and posing a threat - diagnostics of the technical condition installation; (v) forecasting the useful lifetime of equipment.

Keywords

1. Mihułek, M. (Ed.). (2003). Charakterystyka technologiczna rafi nerii ropy i gazu w Unii Europejskiej. Warsaw: Ministerstwo Środowiska.Search in Google Scholar

2. Rada do Spraw Atomistyki. (2006). Strategia rozwoju atomistyki w Polsce. Warsaw: Państwowa Agencja Atomistyki.Search in Google Scholar

3. Machaj, B., Jakowiuk, A., Świstowski, E., & Palige, J. (2011). Operation manual of Gamma Scanner. Warsaw: Institute of Nuclear Chemistry and Technology.Search in Google Scholar

4. Krzanowski, W. J. (2000). Principles of multivariate analysis: A user’s perspective. Oxford University Press.Search in Google Scholar

5. Rencher, A. C. (1997). Multivariate statistical inference and applications. Department of Statistics, Brigham Young University.Search in Google Scholar

6. Kak, A. C., & Slaney, M. (1988). Principles of computerized tomographic imaging. New York: The Institute of Electrical and Electronics Engineers, Inc.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo