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- W2384292605 abstract "The paper introduces the theory and method of neural network, and at first, an improved BP algorithm that connects additional momentum with self-adaptive learning rate is proposed, the improved algorithm can prevent network to stack into the minimal value locally and improve the convergent velocity effectively. Vibration signals and fuel pressure signals are used as characteristics to diagnose and analyze three faults of fuel supply system by using traditional BP and improving BP algorithm, finally, the practice shows that the method of neural network information fusion is applicable to fault diagnosis of multi- signs engines." @default.
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- W2384292605 date "2005-01-01" @default.
- W2384292605 modified "2023-09-24" @default.
- W2384292605 title "Fault diagnosis of diesel engines based on neural network information fusion" @default.
- W2384292605 hasPublicationYear "2005" @default.
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