A method to assess reliability of seasonally operated machines using fuzzy logic principles
Journal Title: Journal of Research and Applications in Agricultural Engineering (ISSN 1642-686X) - Year 2018, Vol 63, Issue 1
Abstract
The aim of this study was to develop an original method, which would objectively quantify reliability of seasonally operated machines. The method uses an algebraic deduction model and fuzzy logic algorithms facilitating simulation studies. The assessment of machine reliability provides the index of reliability IR, which is based on a set of adopted criteria. An additional objective for the authors was to empirically verify the developed method based on seasonally operated agricultural ma-chines. Values of index of reliability IR fall within the range of 0.647-0.725, depending on the type of tested machines. In accordance with the adopted criteria of linguistic synthesis the obtained values of the index IR indicate high reliability of tested machines.
Authors and Affiliations
Piotr Rybacki, Zenon Grześ
Keywords
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