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A probabilistic model for information and sensor validation

Ibargüengoytia, PH, Vadera, S and Sucar, LE 2006, 'A probabilistic model for information and sensor validation' , Computer Journal, 49 (1) , pp. 113-126.

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      Abstract

      This paper develops a new theory and model for information and sensor validation. The model represents relationships between variables using Bayesian networks and utilizes probabilistic propagation to estimate the expected values of variables. If the estimated value of a variable differs from the actual value, an apparent fault is detected. The fault is only apparent since it may be that the estimated value is itself based on faulty data. The theory extends our understanding of when it is possible to isolate real faults from potential faults and supports the development of an algorithm that is capable of isolating real faults without deferring the problem to the use of expert provided domain-specific rules. To enable practical adoption for real-time processes, an any time version of the algorithm is developed, that, unlike most other algorithms, is capable of returning improving assessments of the validity of the sensors as it accumulates more evidence with time. The developed model is tested by applying it to the validation of temperature sensors during the start-up phase of a gas turbine when conditions are not stable; a problem that is known to be challenging. The paper concludes with a discussion of the practical applicability and scalability of the model.

      Item Type: Article
      Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
      Subjects / Themes > Q Science > QA Mathematics
      Subjects outside of the University Themes
      Schools: Colleges and Schools > College of Science & Technology
      Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
      Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
      Journal or Publication Title: Computer Journal
      Publisher: Oxford University Press on behalf of The British Computer Society
      Refereed: Yes
      ISSN: 00104620
      Depositing User: H Kenna
      Date Deposited: 07 Jan 2009 14:35
      Last Modified: 20 Aug 2013 16:51
      URI: http://usir.salford.ac.uk/id/eprint/942

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