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.
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© 2003 Physica- Verlag Heidelberg
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Castillo, O., Melin, P. (2003). Plant Monitoring and Diagnostics. In: Soft Computing and Fractal Theory for Intelligent Manufacturing. Studies in Fuzziness and Soft Computing, vol 117. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1766-9_8
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DOI: https://doi.org/10.1007/978-3-7908-1766-9_8
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-00296-4
Online ISBN: 978-3-7908-1766-9
eBook Packages: Springer Book Archive