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- W2316395840 abstract "A framework of expert systems for predicting turbomachine blade flutter is proposed, which can be charactcrizcd by knowledge sharing through humancomputcr cooperation. The knowledge structure of fluttcr prediction is analyzcd by using ontological analysis method from the knowledge engincering point of view, based on which thc structure of thc knowlcdge basc and the infcrcnce cnginc of the systcm arc discussed. Some examplcs of production rules, inference mechanisms and knowledge association procedures for predicting fluttcr arc dcmonstratcd. The expected bcncfits of the systcm includc 1) helping cnginc dcsigncrs prcdict and avoid fluttcr, 2) helping fluttcr researchers improve their understanding of flutter phcnomcna by using and sharing knowlcdgc more cffectively." @default.
- W2316395840 created "2016-06-24" @default.
- W2316395840 creator A5083918894 @default.
- W2316395840 date "1991-06-24" @default.
- W2316395840 modified "2023-09-26" @default.
- W2316395840 title "An expert system for predicting flutter in turbomachines" @default.
- W2316395840 cites W1977625309 @default.
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- W2316395840 doi "https://doi.org/10.2514/6.1991-2527" @default.
- W2316395840 hasPublicationYear "1991" @default.
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