Neighborhood rough set based fault diagnosis for turntable
Zeng Qing-shuang · Journal of Chinese Inertial Technology · 2009
In view of the charteristics and types of the turntable's fault,a fault diagnosis system based on neighborhood rough set is designed.The neighborhood rough set approximate the domain by neighborhood information granules and can treat the numerical attributes directly.A hybrid reduction algorithm is proposed based on the neighborhood granulation.By calculating the dependence of the condition attributes,the reduction of the raw fault information is obtained,and the inherent redundancy is effectively eliminated.On the base of the reduction,the classifying rules can be extracted and the classifier can be founded.The validity and feasibility of the scheme are demonstrated by the results of experiments based on the fault diagnosis of turntable.