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- W2500366835 abstract "Maintenance of large engineering systems is a complex requirement. Experience shows that a combination of both time- and condition-based maintenance is required to be optimally planned for such systems. Further, such a plan is required to be put in place even as the systems are being designed and installed so that the benefits of maintenance are maximized. While it is possible to use historical data for reliability and maintenance models, considerable amount of knowledge available as domain expertise needs to be tapped, to effectively model and plan maintenance strategies. In this paper, a framework for integration of time- and condition-based maintenance is presented and areas where domain expertise can be harnessed have been highlighted. Fuzzy logic has been shown as a useful tool in this framework to elicit expert information. A case study has been discussed to demonstrate the utility of expert information in modeling and planning scheduled preventive maintenance aspect for a ship’s machinery platform." @default.
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- W2500366835 date "2016-01-01" @default.
- W2500366835 modified "2023-10-01" @default.
- W2500366835 title "Expert Knowledge Base in Integrated Maintenance Models for Engineering Plants" @default.
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- W2500366835 doi "https://doi.org/10.1007/978-3-319-32229-2_36" @default.
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