Reliability Modelling with Fuzzy Covariates

نویسنده

  • R. Guo
چکیده

Uncertainty is an intrinsic feature of data containing the underlying information of reliability engineering realities. Randomness and fuzziness are two different type uncertainties although there is certain link between them. Cox’s PH (Proportional Hazards) models and Lawless and Thiagarajah’s CIF (Conditional Intensity Function) models addressed the random uncertainty in a very general format. As a matter of reflection, conditional monitoring technique-related models, say, proportional intensity (hazards) models and their extensions are one of the quick growth areas in reliability engineering research. However the fuzzy uncertainty in reliability engineering data modelling has not addressed yet. The ignorance of fuzziness is inevitably challenging the accuracy of modelling as well as the legality on the philosophical ground. Various forms of fuzzy covariate reliability modeling are to be explored. Furthermore, the intensity modelling with fuzzy covariate structure and the model implications into plant maintenance are explored.

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تاریخ انتشار 2002