Skip to main content Accessibility help
×
×
Home

Data analysis toolkit for long-term, large-scale experiments

  • D. P. Bennett (a1), R. J. Cuss (a2), P. J. Vardon (a1) (a3), J. F. Harrington (a2), R. N. Philp (a1) and H. R. Thomas (a1)...

Abstract

A new data analysis toolkit which is suitable for the analysis of large-scale, long-term datasets and the phenomenon/anomalies they represent is described. The toolkit aims to expose and quantify scientific information in a number of forms contained within a time-series based dataset in a quantitative and rigorous manner, reducing the subjectivity of observations made, thereby supporting the scientific observer. The features contained within the toolkit include the ability to handle non-uniform datasets, time-series component determination, frequency component determination, feature/event detection and characterization/parameterization of local behaviours. An application is presented of a case study dataset arising from the 'Lasgit' experiment.

    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Data analysis toolkit for long-term, large-scale experiments
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Data analysis toolkit for long-term, large-scale experiments
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Data analysis toolkit for long-term, large-scale experiments
      Available formats
      ×

Copyright

© [2012] The Mineralogical Society of Great Britain and Ireland. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

References

Hide All
Bagchi, S. and Mitra, S.K. (1999) The Nonuniform Discrete Fourier Transform and its Applications in Signal Processing. Kluwer Academic Publishers, Dordrecht, The Netherlands.
Box, G.E.P. and Jenkins, G.M. (1976) Time Series Analysis: Forecasting and Control. Revised Edition. Holden-Day, San Francisco, California, USA. Chatfield, C. (1989) The Analysis of Time Series: An Introduction. Fourth Edition. Chapman & Hall, London.
Cuss, R.J., Harrington, J.F. and Noy, D.J. (2010) Large Scale Gas Injection Test (Lasgit) Performed at the Ä spöHard Rock Laboratory: Summary Report 2008. SKB Technical report TR-1038. Swedish Nuclear Fuel and Waste Management Company, Stockholm.
Cuss, R.J., Harrington, J.F. and Noy, D.J., Wikman, A. and Selin, P. (2011) Large scale gas injection test (Lasgit): results from two gas injection tests. Physicsand Chemistry of the Earth, 36, 17291742.
Dixon, D.A., Chandler, N., Graham, J. and Gray, M.N. (2002) Two large-scale sealing tests conducted at Atomic Energy of Canada’s underground research laboratory: the buffer-container experiment and the isothermal test. Canadian Geotechnical Journal, 39, 503518.
Golub, G.H. and van der Vorst, H.A. (2000) Eigenvalue computation in the 20th century. Journal of Computational and Applied Mathematics, 123, 3565.
Golyandina, N., Nekrutkin, V. and Zhigljavsky, A. (2001) Analysis of Time Series Structure: SSA and Related Techniques. Chapman & Hall/CRC, Boca Raton, Florida, USA.
Halpern, S. (1978) The Assurance Science: An Introduction to Quality Control and Reliability. Prentice-Hall, Englewood Cliffs, New Jersey, USA.
O’Connor, P.D.T. (1995) Practical Reliability Engineering. Third Edition Revised. John Wiley & Sons, Chichester, UK.
SKB (2006) Long-term Safety for KBS-3 Repositories at Forsmark and Laxemar - A First Evaluation: Main Report of the SR-Can Project. SKB Technical Report TR-0609 Swedish Nuclear Fuel and Waste Management Company, Stockholm.
SKB (2007) RD&D Programme 2007: Programme for Research, Development and Demonstration of Methods for the Management and Disposal of Nuclear Waste. SKB Technical Report TR-0712. Swedish Nuclear Fuel and Waste Management Company, Stockholm.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Mineralogical Magazine
  • ISSN: 0026-461X
  • EISSN: 1471-8022
  • URL: /core/journals/mineralogical-magazine
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed