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- W2358453003 abstract "By making use of autoregressive moving average(ARMA) model and clustering method,the characteristic vectors of reference samples and fault samples were determined to identify the fault type according to the feature vector distance;and basing on the analog signals from the typical turbine faults,their ARMA prediction models were built to work out the characteristic vector of reference signals and test signals.The testing result proves the success of this method." @default.
- W2358453003 created "2016-06-24" @default.
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- W2358453003 date "2011-01-01" @default.
- W2358453003 modified "2023-09-23" @default.
- W2358453003 title "Vibration Faults Prediction Based on Time Series Autoregressive Moving Average(ARMA) Model" @default.
- W2358453003 hasPublicationYear "2011" @default.
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