Abstract
This paper presents the basic characteristics of a prototype fuzzy expert system for condition monitoring applications, in particular, oil analysis in Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality. The requirements and basic knowledge base for an oil analysis application are also outlined as an example.
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Sala, A., Tormos, B., Macián, V., Royo, E. (2007). Fuzzy Diagnosis Module Based on Interval Fuzzy Logic: Oil Analysis Application. In: Filipe, J., Ferrier, JL., Cetto, J.A., Carvalho, M. (eds) Informatics in Control, Automation and Robotics II. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5626-0_6
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DOI: https://doi.org/10.1007/978-1-4020-5626-0_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5625-3
Online ISBN: 978-1-4020-5626-0
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