Application of BP neural network in fault diagnosis of full hydraulic drilling rig
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Abstract
Choosing status messages according to fault diagnosis's characteristic,BP neural network is used in fault diagnosis of full hydraulic drilling rig.The sample input and output are used in unitary method and a broad neural network is obtained through training network.It is very important to construct fault self-diagnosis using Matlab software,and the correct result is gained.Experiment indicated that this method is practical and has significant importance for construction of automatic fault diagnosis system.
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