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Plant Monitoring and Diagnostics

  • Oscar Castillo
  • Patricia Melin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 117)

Abstract

We describe in this chapter a new hybrid fuzzy-fractal approach for plant monitoring and diagnostics. We use the concept of the fractal dimension to measure the complexity of a time series of observed data from the plant. We also use fuzzy logic to represent expert knowledge on monitoring the process in the plant. In the hybrid fuzzy-fractal approach a set of fuzzy if-then rules are used to classify different conditions of the plant. The fractal dimension is used as input linguistic variable in the fuzzy system to improve the accuracy in the classification. An implementation of the proposed approach is shown to describe in more detail the method.

Keywords

Fractal Dimension Membership Function Fuzzy Logic Fuzzy System Fuzzy Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica- Verlag Heidelberg 2003

Authors and Affiliations

  • Oscar Castillo
    • 1
    • 2
  • Patricia Melin
    • 1
    • 2
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Tijuana, B. C.Mexico

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