Fuzzy similarity based case retrieval methodology for remote diagnosis and e-maintenance

With the development of e-commerce and internet, the retrieval and reuse methodology of a great deal of faults diagnosis and treatment case knowledge in databases of remote center is a key technology in remote diagnosis and e-maintenance. In this article, firstly, the basic method and shortcoming of retrieval mechanism of CBR system is analyzed. The Manhattan distance and fuzzy method based similarity is presented. Then a new fuzzy similarity based case retrieval model, policy and method are proposed and applied to establish a remote diagnosis and e-maintenance expert system. Finally, the application case is presented. The results illustrate that the fuzzy similarity based case retrieval mechanism is valid method.