Research of Fault Diagnosis Based on Rough Neural Network
Bo Zheng · Science Technology and Engineering · 2010
Because of more datas produced from equipment condition monitoring, a rough neural network model used in fault diagnosis is povided.The innovation of this model is the discrete algorithm based on SOFM network and discernibility matrix, this algorithm doesn’t only guide dividing the number of attributes’ category, but also guarantee getting optimal attribute reduction, meanwhile, the diagnosis ability of routh set and neural network can ensure the diagnosis accuracy and completeness.Practice indicates this model has good engineering applicability and creditability and can provide effective reference for fault diagnosis.