Research and implementation on topic crawler of rotating machinery fault knowledge

As the general search engine returns too many results, related to the subject is not well, and as people´s requirements increasingly to results,The topic crawler that one can accurately capture and analyze data in the target pages, and can meet the growing requirements of the individual is urgent needed. In this paper, it combined the knowledge of rotating machinery fault and crawler, expanded development and research of rotating machinery fault knowledge. Results showed that the system model can effectively collect the relevant of subject´s pages.