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- W2393085183 abstract "According to the signal features of turbine rotor vibration faults,a diagnosis method in combination of wavelet packet and probabilistic neural network is being proposed.Fault signals are decomposed using wavelet packet,and then the unified data will be processed by probabilistic neural network,whereafter a nonlinear mapping relationship between signal features and fault type can be obtained,and thus a fault diagnosis competed.Experimental results of MATLAB simulation show that the combined method by wavelet packet and probabilistic neural network is very effective for diagnosis of normal turbine rotor faults." @default.
- W2393085183 created "2016-06-24" @default.
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- W2393085183 date "2009-01-01" @default.
- W2393085183 modified "2023-09-24" @default.
- W2393085183 title "Application of Wavelet Packet-Neural Network to Fault Diagnosis of Turbine Rotors" @default.
- W2393085183 hasPublicationYear "2009" @default.
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