Study on the feature knowledge acquisition method of ship equipment fault diagnosis
Xiaoping Wu · Ship Engineering · 2009
The rough set theory is introduced into the feature knowledge acquisition of ship equipment fault diagnosis. The feature knowledge acquisition model of ship equipment fault diagnosis based on rough set theory is put forward. According to the inconsistent and redundant original information, the decision table is formed and the fault attributes and the attributes' values are reduced based on rough set theory. Finally the minimum reduced attributes set and diagnosis rules database are established. A practical example indicates that the method can efficiently extract the main fault features and solve the problems of knowledge redundance or lack while the fault classification results is invariable, and the research supplies a basis for further study of applying rough set theory in ship equipment fault diagnosis.