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- W2384778303 abstract "In order to improve the diagnosis accuracy of intelligent diesel engine diagnosis system,based on the characteristics of cylinder-head vibration signal in different conditions,the four-layer wavelet packet decomposition is used to extract characteristic vectors of cylinder-head vibration signal,and multi-interval discretization analysis based on the minimization of information entropy is used to determine discretization intervals of the characteristic vectors,and then discrete data under the simulated fault state are classified by the improved super parent one-dependence Bayesian classifier.The experiments show that the rate of accuracy of fault diagnosis for diesel engine is high under different load,speed and mixed conditions.It makes a helpful attempt for further application of super parent one-dependence Bayesian classifier on intelligent diesel engine fault diagnosis system." @default.
- W2384778303 created "2016-06-24" @default.
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- W2384778303 date "2011-01-01" @default.
- W2384778303 modified "2023-09-24" @default.
- W2384778303 title "Method of vibration signal fault diagnosis for diesel engine based on integrated super parent one-dependence classifier" @default.
- W2384778303 hasPublicationYear "2011" @default.
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