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The changes of air gap in inductive engines as vibration indicator aided by mathematical model and artificial neural network
The method of analyzing vibration of electric engines or electro-
magnetic generators proposed in the work is based on the analyzing of course
current of load. In considerations were used the method based on specialized
mathematics model and advanced calculation technique. It allow to create of
patterns for artificial neural networks. These patterns represented different
states of machine for the diagnostic and they are enable to define precisely
the changes caused by failure. Received experiments showed that the designed
architecture of the net enables to achieve good properties of generalization
correct answer for entrance date which weren't a part of training process.