Study On Fault Diagnosis Technologies Based On CBR & RBR For NC Device

In this thesis, the up-to-date development of device fault intelligent diagnosis and remote monitoring technologies are firstly described in detail. In order to meet the demands of modern NC device fault diagnosis, the Rule-Based Reasoning and Case-Based Reasoning device fault diagnosis technologies are introduced with its particular reference to NC device default. Based on that, the Case-Based Reasoning and Rule-Based Reasoning strategies are proposed for NC device fault diagnosis, and the method of production rule combined with fault tree analysis is constructively suggested for Rule-Based Reasoning NC fault diagnosis system, and nearest neighbor retrieval method is also suggested for Case-Based Reasoning NC fault diagnosis system. In addition, a reasoning method combining RBR with CBR is probed for NC device fault diagnosis.With the rapid development of computer network technology, it has been possible to realize remote monitoring and fault-diagnosis of device. In this thesis, Huazhong NC device (net version) is taken as the research object and has been used as a partly–developed intelligent diagnosis system based on computer network. The field server in this expert system is developed, its functional modules such as parameter module, information collecting module, display model module, archives maintenance module, diagnostic tools module, remote service module, system user management module and system direction for user module are designed and developed.The fault diagnosis system has such characteristics as follows: Both C/S and B/S software design models are used in the system, and the system assisted diagnosis model and remote expert diagnosis model are used in the system, and at the same time, several fault diagnosis methods are implemented in this system such as CBR diagnostic method, RBR diagnostic method and remote expert diagnostic method and etc. .