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《Automation of Electric Power Systems》 2002-06
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Wan Shuting,L i H eming North China Electric Power U niversity,Baoding0 710 0 3,China  
A failure diagnosis model of neural network for vibration fault feature of steam turbine- generator set is established on the basis of the new error contracting gradually BP algorithm .The error function and new weights adjusting law of the BP network is given,which is applied successfully to failure diagnosis and identification of steam turbine- generator set.The results of verification show that the m ethod has faster speed of learning properties and sm ooth error curve,which doesn't oscillate during learning process.
【CateGory Index】: TM311
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