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- W1601688094 abstract "Vibration signals analysis is considered as an appropriate diagnosis method for detecting faults. Several techniques have been used for detecting vibration signals. In this work, artificial neural networks (ANN) were used to predict vibration signals using process parameters measured in a turbine. The ANN models can be viewed as black-boxes. One way to improve their comprehensibility is to use a symbolic model. As a first step in this direction, a hybrid rule-based regression model was also tested." @default.
- W1601688094 created "2016-06-24" @default.
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- W1601688094 date "2003-01-22" @default.
- W1601688094 modified "2023-09-22" @default.
- W1601688094 title "Applying neural networks to determine vibration parameters in a turbine" @default.
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- W1601688094 doi "https://doi.org/10.1109/ijcnn.1999.836203" @default.
- W1601688094 hasPublicationYear "2003" @default.
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