working frequency vibration diagnosis of turbine bearings based on Bayesian network

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Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (11) : 164-168.

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working frequency vibration diagnosis of turbine bearings based on Bayesian network

HUANG Hai-zhou1,2, JI Feng 1, YUAN Xiao-yang1, ZHU Jun 1

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Abstract

Bayesian network method was studied for the vibration diagnosis of steam turbine bearings. According to practical engineering experience,a nature Bayesian network on working frequency vibration diagnosis were built, in which diagnostic information such as vibration frequency spectrum, phase, and operating conditions were all considered.The reasoning computation was completed by adopting LabVIEW platform.The diagnosis results were verified by serveral real cases.It shows the method in this paper can be used to diagnose single and combined bearing vibration failures effectively.

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Bayesian network / bearing / vibration diagnosis

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HUANG Hai-zhou;JI Feng;YUAN Xiao-yang;ZHU Jun . working frequency vibration diagnosis of turbine bearings based on Bayesian network[J]. Journal of Vibration and Shock, 2012, 31(11): 164-168