A wavelet packet diagnosis system based on rough set theory

摘要

The wavelet packet analysis was adopted in acquisition of fault diagnosis system's characteristic parameter. The application of rough set theory in parameter's attribute optimization was explored. The unnecessary attributes were eliminated with reduction algorithm. The inner redundancy of fault diagnosis system's condition attributes is revealed. The complexity of neural network's structure is also decreased. The result of attribute reduction is given finally.