Fault diagnosis of gear based on variable precision rough set
Lv Peng · Journal of North China Electric Power University · 2010
A method of gear fault diagnosis is proposed based on variable precision rough set.The discretizing attribute values are obtained by self-organizing map neural network,Using the property of approximation dependency to reduce the attribues,and then generating the fault diagnosis rules.An example of gear fault diagnosis is given,and comparing with rough set fault diagnosis modle.The result shown that the complexity and number of decision rules are decreased.,and the effeciency of fault recognition is raised.